{"componentChunkName":"component---src-templates-post-template-js","path":"/ctf-imaginary-2023-en","result":{"data":{"markdownRemark":{"id":"df365fd4-c3b9-5ca6-b8a9-ef8a90ea17c1","html":"
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This page has been machine-translated from the original page.

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I participated in ImaginaryCTF 2023 (which ran from July 22) with the team 0nePadding, and we placed 80th out of 880 teams.

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We didn’t have much time this round and participated relatively lightly, which is reflected in our ranking, but I’ll write a brief writeup of the challenges we solved.

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Table of Contents

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chaos(Rev)

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Can you find order in the midst of chaos?

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The challenge binary was the following obfuscated Python script.

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().__class__.__base__.__subclasses__() if \"rni\" in n.__name__ and n.__name__ == n.__name__.lower()][0]()._module.__builtins__.__getitem__(\"\\x62\\x79\\x74\\x65\\x73\").__dict__.__getitem__(\"\\x66\\x72\\x6f\\x6d\\x68ex\")([n for n in ().__class__.__base__.__subclasses__() if \"rni\" in n.__name__ and n.__name__ == n.__name__.lower()][0]()._module.__builtins__.__getitem__(\"\\x62\\x79\\x74\\x65\\x73\"),\"\\x36\\x37\\x20\\x36\\x63\\x20\\x36\\x66\\x20\\x36\\x32\\x20\\x36\\x31\\x20\\x36\\x63\\x20\\x37\\x33\").decode())().__getitem__([n for n in ().__class__.__base__.__subclasses__() if \"rni\" in n.__name__ and n.__name__ == n.__name__.lower()][0]()._module.__builtins__.__getitem__(\"\\x62\\x79\\x74\\x65\\x73\").__dict__.__getitem__(\"\\x66\\x72\\x6f\\x6d\\x68\\x65\\x78\")([n for n in ().__class__.__base__.__subclasses__() if \"rni\" in n.__name__ and n.__name__ == n.__name__.lower()][0]()._module.__builtins__.__getitem__(\"\\x62\\x79\\x74\\x65\\x73\"),\"\\x36\\x39\\x20\\x36\\x65\\x20\\x37\\x30\").decode()).__getitem__(12340^12346).__pow__(95).__eq__(19244817692775379254742950967455327011704665906495063967001221701622487413797394300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000),[n for n in ().__class__.__base__.__subclasses__() if \"rni\" in n.__name__ and n.__name__ == n.__name__.lower()][0]()._module.__builtins__.__getitem__([n for n in ().__class__.__base__.__subclasses__() if \"rni\" in n.__name__ and n.__name__ == n.__name__.lower()][0]()._module.__builtins__.__getitem__(\"\\x62\\x79\\x74\\x65\\x73\").__dict__.__getitem__(\"\\x66\\x72\\x6f\\x6d\\x68ex\")([n for n in ().__class__.__base__.__subclasses__() if \"rni\" in n.__name__ and n.__name__ == n.__name__.lower()][0]()._module.__builtins__.__getitem__(\"\\x62\\x79\\x74\\x65\\x73\"),\"\\x36\\x37\\x20\\x36\\x63\\x20\\x36\\x66\\x20\\x36\\x32\\x20\\x36\\x31\\x20\\x36\\x63\\x20\\x37\\x33\").decode())().__getitem__([n for n in ().__class__.__base__.__subclasses__() if \"rni\" in n.__name__ and n.__name__ == n.__name__.lower()][0]()._module.__builtins__.__getitem__(\"\\x62\\x79\\x74\\x65\\x73\").__dict__.__getitem__(\"\\x66\\x72\\x6f\\x6d\\x68\\x65\\x78\")([n for n in ().__class__.__base__.__subclasses__() if \"rni\" in n.__name__ and n.__name__ == n.__name__.lower()][0]()._module.__builtins__.__getitem__(\"\\x62\\x79\\x74\\x65\\x73\"),\"\\x36\\x39\\x20\\x36\\x65\\x20\\x37\\x30\").decode()).__getitem__(37143^37127).__pow__(39).__eq__(698305725136602387487529275219403181042627701878718020159538228622689033147)]):\n  print(\"Correct!\")\nelse:\n  print(\"Wrong!\")
\n

It appears to perform some kind of validation on the input received via stdin.

\n

By de-obfuscating the code step by step from the beginning, I found that it ultimately executes the following code.

\n
inp.__getitem__(17106^17105).__pow__(8).__eq__(11716593810022656),\ninp.__getitem__(27097^27083).__pow__(24).__eq__(32353447101972729728913030683994293212890625),\ninp.__getitem__(34026^34017).__pow__(46).__eq__(9446824413773783721646626909963562851135776704278099454808312884779297746717929840087890625),\ninp.__getitem__(63699^63729).__pow__(73).__eq__(3848329407410063966449821610084142775235723300303676033059406926388218957230170383178174198012821574964995892819168434088598247206551552),\ninp.__getitem__(19642^19614).__pow__(116).__eq__(99453466295769991497930584904635827609127067259139567866356325844880559213675005735941118931591926469923175003563264921621620270586414500654150782386695821390343819044273345442678033943156922419726982739685408239580854488870825230336),\ninp.__getitem__(23117^23115).__pow__(43).__eq__(666454163935483494165986073535521413339908119119439689887653437787720225729135378569),\ninp.__getitem__(22834^22817).__pow__(100).__eq__(279125119937476769711218039717323941184780697208075426033790125935558757770607551692800947835186940401831368051935139459092824653082333036363632761532652883447140730780926539009118491968618626309427482853376),\ninp.__getitem__(63619^63651).__pow__(77).__eq__(14774235820095264004498794573921235350758313964623449966161598941405119454882112300765336770281511027492774636711848411946648949240160971642785234944),\ninp.__getitem__(46423^46430).__pow__(103).__eq__(2854896728399152791501132019657741211254110875185643687171299493879837284627932797677994094488293012716816857642547064999482966108800130770400087515961592245860476713903985973402562210059666101039),\ninp.__getitem__(45770^45807).__pow__(81).__eq__(15154451684337032471180877896715528289578404766894843944101258135758218479588478910835485639300034416425654688319551372515107152957800448),\ninp.__getitem__(7845^7816).__pow__(93).__eq__(152765413313863335891876650232228590636250322599805199887699889155122653736313839970609248122516106082640356845647993746493975270361464407009917660338486004656821831684909457479206699008),\ninp.__getitem__(17069^17077).__pow__(119).__eq__(3322971292068586945001375443001494973926450995421185933704074187872339304713790839588476655936816080094232588371678021671011954902402082880837534931228172997419786114403571789661045242053742017701253343153755537286997423507273197174072265625),\ninp.__getitem__(1919^1896).__pow__(49).__eq__(8099471081759297818346776746930009699492536551830435520066277259587650405592285096645355224609375),\ninp.__getitem__(60735^60714).__pow__(86).__eq__(15701091733911005039058018134515591100230024516717081888584305795418262516795142712396701976283136741150049062868709289366652374855096750702527661176436773532505121),\ninp.__getitem__(63287^63283).__pow__(15).__eq__(22313961097670283270314823109107),\ninp.__getitem__(33028^33054).__pow__(7).__eq__(69833729609375),\ninp.__getitem__(19552^19569).__pow__(84).__eq__(429889013523893846517224806489583669713060303148081760017486582803791784190577550623785359784398305368779194132465078850291607165748639598349926675909535416694850851601),\ninp.__getitem__(37067^37090).__pow__(12).__eq__(540360087662636962890625),\ninp.__getitem__(62715^62688).__pow__(62).__eq__(2041105095068520949608886499704812731055009299025497759896142376700593881360024455303422742986506865665182180923408384),\ninp.__getitem__(54720^54745).__pow__(65).__eq__(54963705560933635277952993342472339302063424186821498970895216297884264422272899437483338452342942688676763803346334166793043),\ninp.__getitem__(14087^14082).__pow__(20).__eq__(96462930932749340835590504792099626418176),\ninp.__getitem__(22869^22868).__pow__(46).__eq__(62982363120323251233150548690344397272388328521683052596132450587358969755035127763330345401),\ninp.__getitem__(63517^63506).__pow__(29).__eq__(949270512908903998086528065053936636111328026544003052270597),\ninp.__getitem__(40718^40730).__pow__(91).__eq__(36507346762698022672229947186425564061671647922171034852241452332588206602097091150839365421846414898500447897136445343628072917352273365998214114455637040252668778245977),\ninp.__getitem__(62436^62444).__pow__(68).__eq__(143968364924561562974552731434596494012559606399312856181339379510991356456528667994770416197404697432075362606752512560583016461354663936),\ninp.__getitem__(15680^15715).__pow__(70).__eq__(2758369043677505509670918061256140775824469482504900073864113562384680896531951362608474132392098222832377274471582495607435703277587890625),\ninp.__getitem__(49618^49632).__pow__(126).__eq__(1624282775882015502895375715731547869967116063808701172227878605593265086649151663316740754595701943186985338276960573341825325659163921089779652068912755058200778559830844842804901645227676036378209809395699655072884990216798561935007683132425881922245025634765625),\ninp.__getitem__(14155^14183).__pow__(89).__eq__(2675784431388739822912479195873535006777575546428377894186361016610060132844501148420511053019793063406241229031720237861254267757764404192017148214449),\ninp.__getitem__(8596^8585).__pow__(96).__eq__(7268856709612756787225346499677774289512802614190641289146375658956020349643783943847809231604499765439814143733504245364357174482782079478652842983478488125825833776616491377353668212890625),\ninp.__getitem__(56324^56367).__pow__(110).__eq__(29877972010972253192833071731693415365652202298871181558777888425605465225468139159773124416544534747536455303762752108499734678488854585192233276174396159856142083921750940280030953940651129665938997431598127754379961001),\ninp.__getitem__(50544^50519).__pow__(25).__eq__(27738957312183406810942176067977845668792724609375),\ninp.__getitem__(24933^24906).__pow__(76).__eq__(5961195753983995303484560285190290682733463583595335304528058156325433562658524929707243203762512477786151879240818694539888378801),\ninp.__getitem__(43674^43664).__pow__(24).__eq__(9849732675807611094711841000000000000000000000000),\ninp.__getitem__(34191^34239).__pow__(126).__eq__(12123322046368026766845555284174734862143220839547136182936923801262519994579258895086695136012612784629964133807779629268912272729929064102563562351571134115669020914817314628448682040928343513644325889562377257420914618199293475950013761897362635096064),\ninp.__getitem__(17618^17631).__pow__(6).__eq__(885842380864),\ninp.__getitem__(9740^9746).__pow__(33).__eq__(179553522959388241739349798537554631708787040879135341103130317),\ninp.__getitem__(7975^7979).__pow__(35).__eq__(385748510274670890320797750420430050708201357023753748717210749529398351),\ninp.__getitem__(59041^59008).__pow__(49).__eq__(300376071024635284156087943212436719239375530813650294861384068083525481611313395070377347),\ninp.__getitem__(15126^15143).__pow__(79).__eq__(5177422397434133943104921319391337172187409135061853455150624631814434849075662045692827869398608558750724406518789785253043723750457037193),\ninp.__getitem__(57935^57936).__pow__(93).__eq__(3875350235281664831660960617580349420579089722213274181469314776019545119245476575202268153511388261695333783650094408887882026903201446197283128996238502920192),\ninp.__getitem__(7010^7008).__pow__(55).__eq__(350904879621892686078282166981617097988227698061554148933088288827825374792856539625950879204483697093639537688576),\ninp.__getitem__(20335^20345).__pow__(102).__eq__(9854837658709009902840423788263103930870230691677351986711027186635648340217172558000699787158395409325616057120782122954632368861884637638021078801194044407273135355605978370906978064829251584),\ninp.__getitem__(58025^57987).__pow__(33).__eq__(8787599130086200747642212647740199161191191975177869536057),\ninp.__getitem__(1800^1812).__pow__(30).__eq__(273676256864057658169979465205184816551174365773824),\ninp.__getitem__(22479^22472).__pow__(71).__eq__(377152712136764226850902319141752255855581394522141919528596649522051505994415819394593995263291702335322867016097574358377280544383250363282620416),\ninp.__getitem__(29858^29836).__pow__(32).__eq__(2328306436538696289062500000000000000000000000000000000),\ninp.__getitem__(14363^14387).__pow__(52).__eq__(21368996953242526153442455912292983336597584898817192469907377729843034330770024098455905914306640625),\ninp.__getitem__(52117^52147).__pow__(56).__eq__(15369922400447804050857106809882557886535430378970772864323994847940248511226147412103978681078289133898040067751936),\ninp.__getitem__(24068^24068).__pow__(30).__eq__(4321942375150662009157288198886473341473378241062164306640625),\ninp.__getitem__(12340^12346).__pow__(95).__eq__(19244817692775379254742950967455327011704665906495063967001221701622487413797394300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000),\ninp.__getitem__(37143^37127).__pow__(39).__eq__(698305725136602387487529275219403181042627701878718020159538228622689033147)
\n

So I reversed the flag by computing the inverse of each pow operation.

\n

Note that taking nth roots can produce floating-point results, so the solver computes both the ceil and floor values and verifies each against the expected value to identify the correct byte.

\n
import math\nflag = \"\"\nc = math.ceil(pow(4321942375150662009157288198886473341473378241062164306640625,1/30))\nf = math.floor(pow(4321942375150662009157288198886473341473378241062164306640625,1/30))\nif pow(c,30) == 4321942375150662009157288198886473341473378241062164306640625:\n    flag += chr(c)\nelif pow(f,30) == 4321942375150662009157288198886473341473378241062164306640625:\n    flag += chr(f)\nc = math.ceil(pow(62982363120323251233150548690344397272388328521683052596132450587358969755035127763330345401,1/46))\nf = math.floor(pow(62982363120323251233150548690344397272388328521683052596132450587358969755035127763330345401,1/46))\nif pow(c,46) == 62982363120323251233150548690344397272388328521683052596132450587358969755035127763330345401:\n    flag += chr(c)\nelif pow(f,46) == 62982363120323251233150548690344397272388328521683052596132450587358969755035127763330345401:\n    flag += chr(f)\nc = math.ceil(pow(350904879621892686078282166981617097988227698061554148933088288827825374792856539625950879204483697093639537688576,1/55))\nf = math.floor(pow(350904879621892686078282166981617097988227698061554148933088288827825374792856539625950879204483697093639537688576,1/55))\nif pow(c,55) == 350904879621892686078282166981617097988227698061554148933088288827825374792856539625950879204483697093639537688576:\n    flag += chr(c)\nelif pow(f,55) == 350904879621892686078282166981617097988227698061554148933088288827825374792856539625950879204483697093639537688576:\n    flag += chr(f)\nc = math.ceil(pow(11716593810022656,1/8))\nf = math.floor(pow(11716593810022656,1/8))\nif pow(c,8) == 11716593810022656:\n    flag += chr(c)\nelif pow(f,8) == 11716593810022656:\n    flag += chr(f)\nc = math.ceil(pow(22313961097670283270314823109107,1/15))\nf = math.floor(pow(22313961097670283270314823109107,1/15))\nif pow(c,15) == 22313961097670283270314823109107:\n    flag += chr(c)\nelif pow(f,15) == 22313961097670283270314823109107:\n    flag += chr(f)\nc = math.ceil(pow(96462930932749340835590504792099626418176,1/20))\nf = math.floor(pow(96462930932749340835590504792099626418176,1/20))\nif pow(c,20) == 96462930932749340835590504792099626418176:\n    flag += chr(c)\nelif pow(f,20) == 96462930932749340835590504792099626418176:\n    flag += chr(f)\nc = math.ceil(pow(666454163935483494165986073535521413339908119119439689887653437787720225729135378569,1/43))\nf = math.floor(pow(666454163935483494165986073535521413339908119119439689887653437787720225729135378569,1/43))\nif pow(c,43) == 666454163935483494165986073535521413339908119119439689887653437787720225729135378569:\n    flag += chr(c)\nelif pow(f,43) == 666454163935483494165986073535521413339908119119439689887653437787720225729135378569:\n    flag += chr(f)\nc = math.ceil(pow(377152712136764226850902319141752255855581394522141919528596649522051505994415819394593995263291702335322867016097574358377280544383250363282620416,1/71))\nf = math.floor(pow(377152712136764226850902319141752255855581394522141919528596649522051505994415819394593995263291702335322867016097574358377280544383250363282620416,1/71))\nif pow(c,71) == 377152712136764226850902319141752255855581394522141919528596649522051505994415819394593995263291702335322867016097574358377280544383250363282620416:\n    flag += chr(c)\nelif pow(f,71) == 377152712136764226850902319141752255855581394522141919528596649522051505994415819394593995263291702335322867016097574358377280544383250363282620416:\n    flag += chr(f)\nc = math.ceil(pow(143968364924561562974552731434596494012559606399312856181339379510991356456528667994770416197404697432075362606752512560583016461354663936,1/68))\nf = math.floor(pow(143968364924561562974552731434596494012559606399312856181339379510991356456528667994770416197404697432075362606752512560583016461354663936,1/68))\nif pow(c,68) == 143968364924561562974552731434596494012559606399312856181339379510991356456528667994770416197404697432075362606752512560583016461354663936:\n    flag += chr(c)\nelif pow(f,68) == 143968364924561562974552731434596494012559606399312856181339379510991356456528667994770416197404697432075362606752512560583016461354663936:\n    flag += chr(f)\nc = math.ceil(pow(2854896728399152791501132019657741211254110875185643687171299493879837284627932797677994094488293012716816857642547064999482966108800130770400087515961592245860476713903985973402562210059666101039,1/103))\nf = math.floor(pow(2854896728399152791501132019657741211254110875185643687171299493879837284627932797677994094488293012716816857642547064999482966108800130770400087515961592245860476713903985973402562210059666101039,1/103))\nif pow(c,103) == 2854896728399152791501132019657741211254110875185643687171299493879837284627932797677994094488293012716816857642547064999482966108800130770400087515961592245860476713903985973402562210059666101039:\n    flag += chr(c)\nelif pow(f,103) == 2854896728399152791501132019657741211254110875185643687171299493879837284627932797677994094488293012716816857642547064999482966108800130770400087515961592245860476713903985973402562210059666101039:\n    flag += chr(f)\nc = math.ceil(pow(9849732675807611094711841000000000000000000000000,1/24))\nf = math.floor(pow(9849732675807611094711841000000000000000000000000,1/24))\nif pow(c,24) == 9849732675807611094711841000000000000000000000000:\n    flag += chr(c)\nelif pow(f,24) == 9849732675807611094711841000000000000000000000000:\n    flag += chr(f)\nc = math.ceil(pow(9446824413773783721646626909963562851135776704278099454808312884779297746717929840087890625,1/46))\nf = math.floor(pow(9446824413773783721646626909963562851135776704278099454808312884779297746717929840087890625,1/46))\nif pow(c,46) == 9446824413773783721646626909963562851135776704278099454808312884779297746717929840087890625:\n    flag += chr(c)\nelif pow(f,46) == 9446824413773783721646626909963562851135776704278099454808312884779297746717929840087890625:\n    flag += chr(f)\nc = math.ceil(pow(385748510274670890320797750420430050708201357023753748717210749529398351,1/35))\nf = math.floor(pow(385748510274670890320797750420430050708201357023753748717210749529398351,1/35))\nif pow(c,35) == 385748510274670890320797750420430050708201357023753748717210749529398351:\n    flag += chr(c)\nelif pow(f,35) == 385748510274670890320797750420430050708201357023753748717210749529398351:\n    flag += chr(f)\nc = math.ceil(pow(885842380864,1/6))\nf = math.floor(pow(885842380864,1/6))\nif pow(c,6) == 885842380864:\n    flag += chr(c)\nelif pow(f,6) == 885842380864:\n    flag += chr(f)\nc = math.ceil(pow(19244817692775379254742950967455327011704665906495063967001221701622487413797394300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000,1/95))\nf = math.floor(pow(19244817692775379254742950967455327011704665906495063967001221701622487413797394300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000,1/95))\nif pow(c,95) == 19244817692775379254742950967455327011704665906495063967001221701622487413797394300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000:\n    flag += chr(c)\nelif pow(f,95) == 19244817692775379254742950967455327011704665906495063967001221701622487413797394300000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000:\n    flag += chr(f)\nc = math.ceil(pow(949270512908903998086528065053936636111328026544003052270597,1/29))\nf = math.floor(pow(949270512908903998086528065053936636111328026544003052270597,1/29))\nif pow(c,29) == 949270512908903998086528065053936636111328026544003052270597:\n    flag += chr(c)\nelif pow(f,29) == 949270512908903998086528065053936636111328026544003052270597:\n    flag += chr(f)\nc = math.ceil(pow(698305725136602387487529275219403181042627701878718020159538228622689033147,1/39))\nf = math.floor(pow(698305725136602387487529275219403181042627701878718020159538228622689033147,1/39))\nif pow(c,39) == 698305725136602387487529275219403181042627701878718020159538228622689033147:\n    flag += chr(c)\nelif pow(f,39) == 698305725136602387487529275219403181042627701878718020159538228622689033147:\n    flag += chr(f)\nc = math.ceil(pow(429889013523893846517224806489583669713060303148081760017486582803791784190577550623785359784398305368779194132465078850291607165748639598349926675909535416694850851601,1/84))\nf = math.floor(pow(429889013523893846517224806489583669713060303148081760017486582803791784190577550623785359784398305368779194132465078850291607165748639598349926675909535416694850851601,1/84))\nif pow(c,84) == 429889013523893846517224806489583669713060303148081760017486582803791784190577550623785359784398305368779194132465078850291607165748639598349926675909535416694850851601:\n    flag += chr(c)\nelif pow(f,84) == 429889013523893846517224806489583669713060303148081760017486582803791784190577550623785359784398305368779194132465078850291607165748639598349926675909535416694850851601:\n    flag += chr(f)\nc = math.ceil(pow(32353447101972729728913030683994293212890625,1/24))\nf = math.floor(pow(32353447101972729728913030683994293212890625,1/24))\nif pow(c,24) == 32353447101972729728913030683994293212890625:\n    flag += chr(c)\nelif pow(f,24) == 32353447101972729728913030683994293212890625:\n    flag += chr(f)\nc = math.ceil(pow(279125119937476769711218039717323941184780697208075426033790125935558757770607551692800947835186940401831368051935139459092824653082333036363632761532652883447140730780926539009118491968618626309427482853376,1/100))\nf = math.floor(pow(279125119937476769711218039717323941184780697208075426033790125935558757770607551692800947835186940401831368051935139459092824653082333036363632761532652883447140730780926539009118491968618626309427482853376,1/100))\nif pow(c,100) == 279125119937476769711218039717323941184780697208075426033790125935558757770607551692800947835186940401831368051935139459092824653082333036363632761532652883447140730780926539009118491968618626309427482853376:\n    flag += chr(c)\nelif pow(f,100) == 279125119937476769711218039717323941184780697208075426033790125935558757770607551692800947835186940401831368051935139459092824653082333036363632761532652883447140730780926539009118491968618626309427482853376:\n    flag += chr(f)\nc = math.ceil(pow(36507346762698022672229947186425564061671647922171034852241452332588206602097091150839365421846414898500447897136445343628072917352273365998214114455637040252668778245977,1/91))\nf = math.floor(pow(36507346762698022672229947186425564061671647922171034852241452332588206602097091150839365421846414898500447897136445343628072917352273365998214114455637040252668778245977,1/91))\nif pow(c,91) == 36507346762698022672229947186425564061671647922171034852241452332588206602097091150839365421846414898500447897136445343628072917352273365998214114455637040252668778245977:\n    flag += chr(c)\nelif pow(f,91) == 36507346762698022672229947186425564061671647922171034852241452332588206602097091150839365421846414898500447897136445343628072917352273365998214114455637040252668778245977:\n    flag += chr(f)\nc = math.ceil(pow(15701091733911005039058018134515591100230024516717081888584305795418262516795142712396701976283136741150049062868709289366652374855096750702527661176436773532505121,1/86))\nf = math.floor(pow(15701091733911005039058018134515591100230024516717081888584305795418262516795142712396701976283136741150049062868709289366652374855096750702527661176436773532505121,1/86))\nif pow(c,86) == 15701091733911005039058018134515591100230024516717081888584305795418262516795142712396701976283136741150049062868709289366652374855096750702527661176436773532505121:\n    flag += chr(c)\nelif pow(f,86) == 15701091733911005039058018134515591100230024516717081888584305795418262516795142712396701976283136741150049062868709289366652374855096750702527661176436773532505121:\n    flag += chr(f)\nc = math.ceil(pow(9854837658709009902840423788263103930870230691677351986711027186635648340217172558000699787158395409325616057120782122954632368861884637638021078801194044407273135355605978370906978064829251584,1/102))\nf = math.floor(pow(9854837658709009902840423788263103930870230691677351986711027186635648340217172558000699787158395409325616057120782122954632368861884637638021078801194044407273135355605978370906978064829251584,1/102))\nif pow(c,102) == 9854837658709009902840423788263103930870230691677351986711027186635648340217172558000699787158395409325616057120782122954632368861884637638021078801194044407273135355605978370906978064829251584:\n    flag += chr(c)\nelif pow(f,102) == 9854837658709009902840423788263103930870230691677351986711027186635648340217172558000699787158395409325616057120782122954632368861884637638021078801194044407273135355605978370906978064829251584:\n    flag += chr(f)\nc = math.ceil(pow(8099471081759297818346776746930009699492536551830435520066277259587650405592285096645355224609375,1/49))\nf = math.floor(pow(8099471081759297818346776746930009699492536551830435520066277259587650405592285096645355224609375,1/49))\nif pow(c,49) == 8099471081759297818346776746930009699492536551830435520066277259587650405592285096645355224609375:\n    flag += chr(c)\nelif pow(f,49) == 8099471081759297818346776746930009699492536551830435520066277259587650405592285096645355224609375:\n    flag += chr(f)\nc = math.ceil(pow(3322971292068586945001375443001494973926450995421185933704074187872339304713790839588476655936816080094232588371678021671011954902402082880837534931228172997419786114403571789661045242053742017701253343153755537286997423507273197174072265625,1/119))\nf = math.floor(pow(3322971292068586945001375443001494973926450995421185933704074187872339304713790839588476655936816080094232588371678021671011954902402082880837534931228172997419786114403571789661045242053742017701253343153755537286997423507273197174072265625,1/119))\nif pow(c,119) == 3322971292068586945001375443001494973926450995421185933704074187872339304713790839588476655936816080094232588371678021671011954902402082880837534931228172997419786114403571789661045242053742017701253343153755537286997423507273197174072265625:\n    flag += chr(c)\nelif pow(f,119) == 3322971292068586945001375443001494973926450995421185933704074187872339304713790839588476655936816080094232588371678021671011954902402082880837534931228172997419786114403571789661045242053742017701253343153755537286997423507273197174072265625:\n    flag += chr(f)\nc = math.ceil(pow(54963705560933635277952993342472339302063424186821498970895216297884264422272899437483338452342942688676763803346334166793043,1/65))\nf = math.floor(pow(54963705560933635277952993342472339302063424186821498970895216297884264422272899437483338452342942688676763803346334166793043,1/65))\nif pow(c,65) == 54963705560933635277952993342472339302063424186821498970895216297884264422272899437483338452342942688676763803346334166793043:\n    flag += chr(c)\nelif pow(f,65) == 54963705560933635277952993342472339302063424186821498970895216297884264422272899437483338452342942688676763803346334166793043:\n    flag += chr(f)\nc = math.ceil(pow(69833729609375,1/7))\nf = math.floor(pow(69833729609375,1/7))\nif pow(c,7) == 69833729609375:\n    flag += chr(c)\nelif pow(f,7) == 69833729609375:\n    flag += chr(f)\nc = math.ceil(pow(2041105095068520949608886499704812731055009299025497759896142376700593881360024455303422742986506865665182180923408384,1/62))\nf = math.floor(pow(2041105095068520949608886499704812731055009299025497759896142376700593881360024455303422742986506865665182180923408384,1/62))\nif pow(c,62) == 2041105095068520949608886499704812731055009299025497759896142376700593881360024455303422742986506865665182180923408384:\n    flag += chr(c)\nelif pow(f,62) == 2041105095068520949608886499704812731055009299025497759896142376700593881360024455303422742986506865665182180923408384:\n    flag += chr(f)\nc = math.ceil(pow(273676256864057658169979465205184816551174365773824,1/30))\nf = math.floor(pow(273676256864057658169979465205184816551174365773824,1/30))\nif pow(c,30) == 273676256864057658169979465205184816551174365773824:\n    flag += chr(c)\nelif pow(f,30) == 273676256864057658169979465205184816551174365773824:\n    flag += chr(f)\nc = math.ceil(pow(7268856709612756787225346499677774289512802614190641289146375658956020349643783943847809231604499765439814143733504245364357174482782079478652842983478488125825833776616491377353668212890625,1/96))\nf = math.floor(pow(7268856709612756787225346499677774289512802614190641289146375658956020349643783943847809231604499765439814143733504245364357174482782079478652842983478488125825833776616491377353668212890625,1/96))\nif pow(c,96) == 7268856709612756787225346499677774289512802614190641289146375658956020349643783943847809231604499765439814143733504245364357174482782079478652842983478488125825833776616491377353668212890625:\n    flag += chr(c)\nelif pow(f,96) == 7268856709612756787225346499677774289512802614190641289146375658956020349643783943847809231604499765439814143733504245364357174482782079478652842983478488125825833776616491377353668212890625:\n    flag += chr(f)\nc = math.ceil(pow(179553522959388241739349798537554631708787040879135341103130317,1/33))\nf = math.floor(pow(179553522959388241739349798537554631708787040879135341103130317,1/33))\nif pow(c,33) == 179553522959388241739349798537554631708787040879135341103130317:\n    flag += chr(c)\nelif pow(f,33) == 179553522959388241739349798537554631708787040879135341103130317:\n    flag += chr(f)\nc = math.ceil(pow(3875350235281664831660960617580349420579089722213274181469314776019545119245476575202268153511388261695333783650094408887882026903201446197283128996238502920192,1/93))\nf = math.floor(pow(3875350235281664831660960617580349420579089722213274181469314776019545119245476575202268153511388261695333783650094408887882026903201446197283128996238502920192,1/93))\nif pow(c,93) == 3875350235281664831660960617580349420579089722213274181469314776019545119245476575202268153511388261695333783650094408887882026903201446197283128996238502920192:\n    flag += chr(c)\nelif pow(f,93) == 3875350235281664831660960617580349420579089722213274181469314776019545119245476575202268153511388261695333783650094408887882026903201446197283128996238502920192:\n    flag += chr(f)\nc = math.ceil(pow(14774235820095264004498794573921235350758313964623449966161598941405119454882112300765336770281511027492774636711848411946648949240160971642785234944,1/77))\nf = math.floor(pow(14774235820095264004498794573921235350758313964623449966161598941405119454882112300765336770281511027492774636711848411946648949240160971642785234944,1/77))\nif pow(c,77) == 14774235820095264004498794573921235350758313964623449966161598941405119454882112300765336770281511027492774636711848411946648949240160971642785234944:\n    flag += chr(c)\nelif pow(f,77) == 14774235820095264004498794573921235350758313964623449966161598941405119454882112300765336770281511027492774636711848411946648949240160971642785234944:\n    flag += chr(f)\nc = math.ceil(pow(300376071024635284156087943212436719239375530813650294861384068083525481611313395070377347,1/49))\nf = math.floor(pow(300376071024635284156087943212436719239375530813650294861384068083525481611313395070377347,1/49))\nif pow(c,49) == 300376071024635284156087943212436719239375530813650294861384068083525481611313395070377347:\n    flag += chr(c)\nelif pow(f,49) == 300376071024635284156087943212436719239375530813650294861384068083525481611313395070377347:\n    flag += chr(f)\nc = math.ceil(pow(3848329407410063966449821610084142775235723300303676033059406926388218957230170383178174198012821574964995892819168434088598247206551552,1/73))\nf = math.floor(pow(3848329407410063966449821610084142775235723300303676033059406926388218957230170383178174198012821574964995892819168434088598247206551552,1/73))\nif pow(c,73) == 3848329407410063966449821610084142775235723300303676033059406926388218957230170383178174198012821574964995892819168434088598247206551552:\n    flag += chr(c)\nelif pow(f,73) == 3848329407410063966449821610084142775235723300303676033059406926388218957230170383178174198012821574964995892819168434088598247206551552:\n    flag += chr(f)\nc = math.ceil(pow(2758369043677505509670918061256140775824469482504900073864113562384680896531951362608474132392098222832377274471582495607435703277587890625,1/70))\nf = math.floor(pow(2758369043677505509670918061256140775824469482504900073864113562384680896531951362608474132392098222832377274471582495607435703277587890625,1/70))\nif pow(c,70) == 2758369043677505509670918061256140775824469482504900073864113562384680896531951362608474132392098222832377274471582495607435703277587890625:\n    flag += chr(c)\nelif pow(f,70) == 2758369043677505509670918061256140775824469482504900073864113562384680896531951362608474132392098222832377274471582495607435703277587890625:\n    flag += chr(f)\nc = math.ceil(pow(99453466295769991497930584904635827609127067259139567866356325844880559213675005735941118931591926469923175003563264921621620270586414500654150782386695821390343819044273345442678033943156922419726982739685408239580854488870825230336,1/116))\nf = math.floor(pow(99453466295769991497930584904635827609127067259139567866356325844880559213675005735941118931591926469923175003563264921621620270586414500654150782386695821390343819044273345442678033943156922419726982739685408239580854488870825230336,1/116))\nif pow(c,116) == 99453466295769991497930584904635827609127067259139567866356325844880559213675005735941118931591926469923175003563264921621620270586414500654150782386695821390343819044273345442678033943156922419726982739685408239580854488870825230336:\n    flag += chr(c)\nelif pow(f,116) == 99453466295769991497930584904635827609127067259139567866356325844880559213675005735941118931591926469923175003563264921621620270586414500654150782386695821390343819044273345442678033943156922419726982739685408239580854488870825230336:\n    flag += chr(f)\nc = math.ceil(pow(15154451684337032471180877896715528289578404766894843944101258135758218479588478910835485639300034416425654688319551372515107152957800448,1/81))\nf = math.floor(pow(15154451684337032471180877896715528289578404766894843944101258135758218479588478910835485639300034416425654688319551372515107152957800448,1/81))\nif pow(c,81) == 15154451684337032471180877896715528289578404766894843944101258135758218479588478910835485639300034416425654688319551372515107152957800448:\n    flag += chr(c)\nelif pow(f,81) == 15154451684337032471180877896715528289578404766894843944101258135758218479588478910835485639300034416425654688319551372515107152957800448:\n    flag += chr(f)\nc = math.ceil(pow(15369922400447804050857106809882557886535430378970772864323994847940248511226147412103978681078289133898040067751936,1/56))\nf = math.floor(pow(15369922400447804050857106809882557886535430378970772864323994847940248511226147412103978681078289133898040067751936,1/56))\nif pow(c,56) == 15369922400447804050857106809882557886535430378970772864323994847940248511226147412103978681078289133898040067751936:\n    flag += chr(c)\nelif pow(f,56) == 15369922400447804050857106809882557886535430378970772864323994847940248511226147412103978681078289133898040067751936:\n    flag += chr(f)\nc = math.ceil(pow(27738957312183406810942176067977845668792724609375,1/25))\nf = math.floor(pow(27738957312183406810942176067977845668792724609375,1/25))\nif pow(c,25) == 27738957312183406810942176067977845668792724609375:\n    flag += chr(c)\nelif pow(f,25) == 27738957312183406810942176067977845668792724609375:\n    flag += chr(f)\nc = math.ceil(pow(21368996953242526153442455912292983336597584898817192469907377729843034330770024098455905914306640625,1/52))\nf = math.floor(pow(21368996953242526153442455912292983336597584898817192469907377729843034330770024098455905914306640625,1/52))\nif pow(c,52) == 21368996953242526153442455912292983336597584898817192469907377729843034330770024098455905914306640625:\n    flag += chr(c)\nelif pow(f,52) == 21368996953242526153442455912292983336597584898817192469907377729843034330770024098455905914306640625:\n    flag += chr(f)\nc = math.ceil(pow(540360087662636962890625,1/12))\nf = math.floor(pow(540360087662636962890625,1/12))\nif pow(c,12) == 540360087662636962890625:\n    flag += chr(c)\nelif pow(f,12) == 540360087662636962890625:\n    flag += chr(f)\nc = math.ceil(pow(8787599130086200747642212647740199161191191975177869536057,1/33))\nf = math.floor(pow(8787599130086200747642212647740199161191191975177869536057,1/33))\nif pow(c,33) == 8787599130086200747642212647740199161191191975177869536057:\n    flag += chr(c)\nelif pow(f,33) == 8787599130086200747642212647740199161191191975177869536057:\n    flag += chr(f)\nc = math.ceil(pow(29877972010972253192833071731693415365652202298871181558777888425605465225468139159773124416544534747536455303762752108499734678488854585192233276174396159856142083921750940280030953940651129665938997431598127754379961001,1/110))\nf = math.floor(pow(29877972010972253192833071731693415365652202298871181558777888425605465225468139159773124416544534747536455303762752108499734678488854585192233276174396159856142083921750940280030953940651129665938997431598127754379961001,1/110))\nif pow(c,110) == 29877972010972253192833071731693415365652202298871181558777888425605465225468139159773124416544534747536455303762752108499734678488854585192233276174396159856142083921750940280030953940651129665938997431598127754379961001:\n    flag += chr(c)\nelif pow(f,110) == 29877972010972253192833071731693415365652202298871181558777888425605465225468139159773124416544534747536455303762752108499734678488854585192233276174396159856142083921750940280030953940651129665938997431598127754379961001:\n    flag += chr(f)\nc = math.ceil(pow(2675784431388739822912479195873535006777575546428377894186361016610060132844501148420511053019793063406241229031720237861254267757764404192017148214449,1/89))\nf = math.floor(pow(2675784431388739822912479195873535006777575546428377894186361016610060132844501148420511053019793063406241229031720237861254267757764404192017148214449,1/89))\nif pow(c,89) == 2675784431388739822912479195873535006777575546428377894186361016610060132844501148420511053019793063406241229031720237861254267757764404192017148214449:\n    flag += chr(c)\nelif pow(f,89) == 2675784431388739822912479195873535006777575546428377894186361016610060132844501148420511053019793063406241229031720237861254267757764404192017148214449:\n    flag += chr(f)\nc = math.ceil(pow(152765413313863335891876650232228590636250322599805199887699889155122653736313839970609248122516106082640356845647993746493975270361464407009917660338486004656821831684909457479206699008,1/93))\nf = math.floor(pow(152765413313863335891876650232228590636250322599805199887699889155122653736313839970609248122516106082640356845647993746493975270361464407009917660338486004656821831684909457479206699008,1/93))\nif pow(c,93) == 152765413313863335891876650232228590636250322599805199887699889155122653736313839970609248122516106082640356845647993746493975270361464407009917660338486004656821831684909457479206699008:\n    flag += chr(c)\nelif pow(f,93) == 152765413313863335891876650232228590636250322599805199887699889155122653736313839970609248122516106082640356845647993746493975270361464407009917660338486004656821831684909457479206699008:\n    flag += chr(f)\nc = math.ceil(pow(2328306436538696289062500000000000000000000000000000000,1/32))\nf = math.floor(pow(2328306436538696289062500000000000000000000000000000000,1/32))\nif pow(c,32) == 2328306436538696289062500000000000000000000000000000000:\n    flag += chr(c)\nelif pow(f,32) == 2328306436538696289062500000000000000000000000000000000:\n    flag += chr(f)\nc = math.ceil(pow(5961195753983995303484560285190290682733463583595335304528058156325433562658524929707243203762512477786151879240818694539888378801,1/76))\nf = math.floor(pow(5961195753983995303484560285190290682733463583595335304528058156325433562658524929707243203762512477786151879240818694539888378801,1/76))\nif pow(c,76) == 5961195753983995303484560285190290682733463583595335304528058156325433562658524929707243203762512477786151879240818694539888378801:\n    flag += chr(c)\nelif pow(f,76) == 5961195753983995303484560285190290682733463583595335304528058156325433562658524929707243203762512477786151879240818694539888378801:\n    flag += chr(f)\nc = math.ceil(pow(12123322046368026766845555284174734862143220839547136182936923801262519994579258895086695136012612784629964133807779629268912272729929064102563562351571134115669020914817314628448682040928343513644325889562377257420914618199293475950013761897362635096064,1/126))\nf = math.floor(pow(12123322046368026766845555284174734862143220839547136182936923801262519994579258895086695136012612784629964133807779629268912272729929064102563562351571134115669020914817314628448682040928343513644325889562377257420914618199293475950013761897362635096064,1/126))\nif pow(c,126) == 12123322046368026766845555284174734862143220839547136182936923801262519994579258895086695136012612784629964133807779629268912272729929064102563562351571134115669020914817314628448682040928343513644325889562377257420914618199293475950013761897362635096064:\n    flag += chr(c)\nelif pow(f,126) == 12123322046368026766845555284174734862143220839547136182936923801262519994579258895086695136012612784629964133807779629268912272729929064102563562351571134115669020914817314628448682040928343513644325889562377257420914618199293475950013761897362635096064:\n    flag += chr(f)\nc = math.ceil(pow(5177422397434133943104921319391337172187409135061853455150624631814434849075662045692827869398608558750724406518789785253043723750457037193,1/79))\nf = math.floor(pow(5177422397434133943104921319391337172187409135061853455150624631814434849075662045692827869398608558750724406518789785253043723750457037193,1/79))\nif pow(c,79) == 5177422397434133943104921319391337172187409135061853455150624631814434849075662045692827869398608558750724406518789785253043723750457037193:\n    flag += chr(c)\nelif pow(f,79) == 5177422397434133943104921319391337172187409135061853455150624631814434849075662045692827869398608558750724406518789785253043723750457037193:\n    flag += chr(f)\nc = math.ceil(pow(1624282775882015502895375715731547869967116063808701172227878605593265086649151663316740754595701943186985338276960573341825325659163921089779652068912755058200778559830844842804901645227676036378209809395699655072884990216798561935007683132425881922245025634765625,1/126))\nf = math.floor(pow(1624282775882015502895375715731547869967116063808701172227878605593265086649151663316740754595701943186985338276960573341825325659163921089779652068912755058200778559830844842804901645227676036378209809395699655072884990216798561935007683132425881922245025634765625,1/126))\nif pow(c,126) == 1624282775882015502895375715731547869967116063808701172227878605593265086649151663316740754595701943186985338276960573341825325659163921089779652068912755058200778559830844842804901645227676036378209809395699655072884990216798561935007683132425881922245025634765625:\n    flag += chr(c)\nelif pow(f,126) == 1624282775882015502895375715731547869967116063808701172227878605593265086649151663316740754595701943186985338276960573341825325659163921089779652068912755058200778559830844842804901645227676036378209809395699655072884990216798561935007683132425881922245025634765625:\n    flag += chr(f)\nprint(flag)\n# ictf{pYthOn_obFuScAtION_iS_N0_M4TCH_f0r_U_9e1b23f9}
\n

snailchecker(Rev)

\n
\n

Optimize me, if you dare. Or not. It might run if you try hard enough.

\n
\n

The challenge binary was the following code.

\n
#!/usr/bin/env python3\ndef enc(b):\n  a = [n for n in range(b[0]*2**24+b[1]*2**16+b[2]*2**8+b[3]+1)][1:]\n  c,i = 0,0\n  while len([n for n in a if n != 0]) > 1:\n    i%=len(a)\n    if (a[i]!=0 and c==1):\n      a[i],c=0,0\n    if (a[i] != 0):\n      c+=1\n    i += 1\n  return sum(a)\n\nprint(r\"\"\"\n    .----.   @   @\n   / .-\"-.`.  \\v/\n   | | '\\ \\ \\_/ )\n ,-\\ `-.' /.'  /\n'---`----'----'\n\"\"\")\nflag = input(\"Enter flag here: \").encode()\nout = b''\nfor n in [flag[i:i+4] for i in range(0,len(flag),4)]:\n  out += bytes.fromhex(hex(enc(n[::-1]))[2:].zfill(8))\n\nif out == b'L\\xe8\\xc6\\xd2f\\xde\\xd4\\xf6j\\xd0\\xe0\\xcad\\xe0\\xbe\\xe6J\\xd8\\xc4\\xde`\\xe6\\xbe\\xda>\\xc8\\xca\\xca^\\xde\\xde\\xc4^\\xde\\xde\\xdez\\xe8\\xe6\\xde':\n print(\"[*] Flag correct!\")\nelse:\n print(\"[*] Flag incorrect.\")
\n

The enc function appears to be an implementation of the Josephus Problem with k=2.

\n

However, because the initial array is the bit string of 4 characters (32 bits), simply running the function takes forever to complete.

\n

To retrieve the flag, you need to find the input whose enc output matches the byte string out, but brute force is not feasible due to the computation time.

\n

After some trial and error, I found that if n is the output of enc, then the initial value x in the Josephus Problem for k=2 satisfies 2x - l - 1 = n (where l = 2**m and m is the bit length of n).

\n

Using the following solver, I was able to retrieve the flag.

\n
from Crypto.Util.number import long_to_bytes, bytes_to_long\nimport math\nout = b'L\\xe8\\xc6\\xd2f\\xde\\xd4\\xf6j\\xd0\\xe0\\xcad\\xe0\\xbe\\xe6J\\xd8\\xc4\\xde`\\xe6\\xbe\\xda>\\xc8\\xca\\xca^\\xde\\xde\\xc4^\\xde\\xde\\xdez\\xe8\\xe6\\xde'\n# 2x - l - 1 = n\nm = 31\nl = 2147483648\nflag = \"\"\nfor i in range(4,len(out)+1,4):\n    n = bytes_to_long(out[i-4:i])\n    x = math.ceil((n + l + 1) / 2) - 1\n    w = bin(x)[2:].zfill(32)\n    flag += chr(int(\"0b\"+w[24:],2))\n    flag += chr(int(\"0b\"+w[16:24],2))\n    flag += chr(int(\"0b\"+w[8:16],2))\n    flag += chr(int(\"0b\"+w[:8],2))\n\nprint(flag)\n# ictf{josephus_problem_speed_boooooooost}
\n

scrambled(Rev)

\n
\n

The flag is all jumbled up… or is it?

\n
\n

This was a binary that shuffles the input string with a complex permutation, then applies further complex transformations, and verifies whether the final result matches a hardcoded key.

\n

Reading through the complex processing via static analysis was impractical, so I used GDB automation to retrieve the flag.

\n

Using the following solver, I determined the string permutation order and identified the flag one character at a time.

\n
# gdb -x solver.py\nimport gdb\n\nkey = r\"oynuuvefmqjn1qlfnw$j*vmx1dv\"\norig = r\"ictf{ABCDEFGHIJKLMNOPQRSTU}\"\nshuf = r\"i}UTSRQPONMLKJIHGFEDCBA{ftc\"\narr = [i for i in range(27)]\nfor i,c in enumerate(shuf):\n    arr[i] = orig.find(c)\n\nBINDIR = \"/home/ubuntu/Hacking/CTF/2023/ImaginaryCTF/Rev/scrambled\"\nBIN = \"main\"\nINPUT = \"./in.txt\"\nOUT = \"./out.txt\"\nBREAK = \"0x404c14\"\ngdb.execute('file {}/{}'.format(BINDIR, BIN))\ngdb.execute('b *{}'.format(BREAK))\nd = [{} for i in range(0x1b)]\n\nflag = ['i', 'c', 't', 'f', '{', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'l', '}']\nfor i in range(0x1b):\n    with open(\"in.txt\", \"w\") as f:\n        f.write(\"\".join(flag))\n    gdb.execute('run < {}'.format(INPUT, OUT))\n    inf = gdb.inferiors()[0]\n    mem = inf.read_memory(0x5fb400, 0x1b)\n    base = mem.tobytes().decode()\n    if base[i] == key[i]:\n        print(\"\".join(flag))\n        continue\n    \n    for c in range(0x21,0x7f):\n        flag[arr[i]] = chr(c)\n        with open(\"in.txt\", \"w\") as f:\n            f.write(\"\".join(flag))\n\n        gdb.execute('run < {}'.format(INPUT, OUT))\n        inf = gdb.inferiors()[0]\n        mem = inf.read_memory(0x5fb400, 0x1b)\n        base = mem.tobytes().decode()\n        if base[i] == key[i]:\n            print(\"\".join(flag))\n            break
\n

Sheepish(Rev)

\n
\n

Mary had a flagchecker, its fleece was white as snow.

\n
\n

The challenge binary was a script consisting of deeply nested lambda functions like the following.

\n

Yet another obfuscated Python script…

\n
print((((lambda _____________:((lambda ___:_____________(lambda _______:___(___)(_______)))(lambda ___:_____________(lambda _______:___(___)(_______)))))(lambda _____________:lambda ___________:lambda ______:(lambda ____:(lambda _:_(lambda __________:lambda _____:__________))(____))(___________)(lambda _:(lambda __________:lambda _____:__________))(lambda _:(lambda __________:lambda _____:__________(_____)(lambda __________:lambda _____:_____))((lambda __________:lambda _____:(lambda __________:lambda _____:__________(_____)(lambda __________:lambda _____:_____))((lambda __________:lambda _____:(lambda __________:__________(lambda _:(lambda __________:lambda _____:_____))(lambda __________:lambda _____:__________))((lambda __________:lambda _____:_____(lambda __:lambda _____________:lambda ___:__(lambda ____________:lambda _________:_________(____________(_____________)))(lambda _:___)(lambda __________:__________))(__________))(_____)(__________)))(__________)(_____))((lambda __________:lambda _____:(lambda __________:__________(lambda _:(lambda __________:lambda _____:_____))(lambda __________:lambda _____:__________))((lambda __________:lambda _____:_____(lambda __:lambda _____________:lambda ___:__(lambda ____________:lambda _________:_________(____________(_____________)))(lambda _:___)(lambda __________:__________))(__________))(__________)(_____)))(__________)(_____)))((lambda ____:(lambda _:_(lambda __________:lambda _____:__________))((lambda _:_(lambda __________:lambda _____:_____))(____)))(___________))((lambda ____:(lambda _:_(lambda __________:lambda _____:__________))((lambda _:_(lambda __________:lambda _____:_____))(____)))(______)))(_____________((lambda ____:(lambda _:_(lambda __________:lambda _____:_____))((lambda _:_(lambda __________:lambda _____:_____))(____)))(___________))((lambda ____:(lambda _:_(lambda __________:lambda _____:_____))((lambda _:_(lambda __________:lambda _____:_____))(____)))(______))))(lambda __________:lambda _____:__________)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:__________)(lambda __________:lambda _____:__________))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____)))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____)))))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____)))))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))(lambda __________:lambda _____:__________(__________(__________(_____)))))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____)))))(lambda __________:lambda _____:__________(__________(__________(_____)))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))(lambda __________:lambda _____:_____)))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))(lambda __________:lambda _____:_____)))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))(lambda __________:lambda _____:_____)))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))(lambda __________:lambda _____:__________(__________(_____)))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____)))))(lambda __________:lambda _____:__________(__________(__________(_____)))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____)))))))(lambda __________:lambda _____:_____)))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))(lambda __________:lambda _____:__________(__________(__________(_____)))))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))(lambda __________:lambda _____:__________(__________(__________(_____)))))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____)))))(lambda __________:lambda _____:__________(__________(_____))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____)))))))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____)))))(lambda __________:lambda _____:__________(__________(__________(_____)))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))(lambda __________:lambda _____:__________(__________(__________(_____)))))(lambda __________:lambda _____:_____)))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____)))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____)))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____)))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____)))))))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____)))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:__________(lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(_____)))((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:lambda ______________:__________(_____(______________)))(lambda __________:lambda _____:__________(__________(_____)))(lambda __________:lambda _____:__________(__________(__________(_____))))))((lambda __________:lambda _____:_____(__________))(lambda __________:lambda _____:__________(__________(__________(_____))))(lambda __________:lambda _____:__________(__________(_____))))))(((lambda _____________:((lambda ___:_____________(lambda _______:___(___)(_______)))(lambda ___:_____________(lambda _______:___(___)(_______)))))(lambda _____________:(lambda ________:(((lambda ____:lambda ___:(lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:_____)((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(___)(____)))(_____________(________[1:]))(((lambda _____________:((lambda ___:_____________(lambda _______:___(___)(_______)))(lambda ___:_____________(lambda _______:___(___)(_______)))))(lambda _____________:(lambda __:(((lambda __:lambda __________:lambda _____:__________(__(__________)(_____)))(_____________(__-1))) if __ else (lambda __________:lambda _____:_____)))))(________[0]))) if len(________) else ((lambda __________:lambda _____:lambda ______________:______________(__________)(_____))(lambda __________:lambda _____:__________)(lambda __________:lambda _____:__________))))))(input(\">>> \").encode())))(\"Well done!\")(\"Try again...\"))
\n

First, I replaced the underscores used as variable names with other symbols.

\n
print((((lambda b:((lambda l:b(lambda h:l(l)(h)))(lambda l:b(lambda h:l(l)(h)))))(lambda b:lambda d:lambda i:(lambda k:(lambda n:n(lambda e:lambda j:e))(k))(d)(lambda n:(lambda e:lambda j:e))(lambda n:(lambda e:lambda j:e(j)(lambda e:lambda j:j))((lambda e:lambda j:(lambda e:lambda j:e(j)(lambda e:lambda j:j))((lambda e:lambda j:(lambda e:e(lambda n:(lambda e:lambda j:j))(lambda e:lambda j:e))((lambda e:lambda j:j(lambda m:lambda b:lambda l:m(lambda c:lambda f:f(c(b)))(lambda n:l)(lambda e:e))(e))(j)(e)))(e)(j))((lambda e:lambda j:(lambda e:e(lambda n:(lambda e:lambda j:j))(lambda e:lambda j:e))((lambda e:lambda j:j(lambda m:lambda b:lambda l:m(lambda c:lambda f:f(c(b)))(lambda n:l)(lambda e:e))(e))(e)(j)))(e)(j)))((lambda k:(lambda n:n(lambda e:lambda j:e))((lambda n:n(lambda e:lambda j:j))(k)))(d))((lambda k:(lambda n:n(lambda e:lambda j:e))((lambda n:n(lambda e:lambda j:j))(k)))(i)))(b((lambda k:(lambda n:n(lambda e:lambda j:j))((lambda n:n(lambda e:lambda j:j))(k)))(d))((lambda k:(lambda n:n(lambda e:lambda j:j))((lambda n:n(lambda e:lambda j:j))(k)))(i))))(lambda e:lambda j:e)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))((lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:e)(lambda e:lambda j:e))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))((lambda m:lambda e:lambda j:e(m(e)(j)))((lambda e:lambda j:lambda a:e(j(a)))(lambda e:lambda j:e(e(j)))(lambda e:lambda j:e(e(e(j)))))))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))(lambda e:lambda j:e(e(j)))(lambda e:lambda j:e(e(e(j)))))((lambda m:lambda e:lambda j:e(m(e)(j)))((lambda e:lambda j:lambda a:e(j(a)))(lambda e:lambda j:e(e(j)))(lambda e:lambda j:e(e(e(j)))))))))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))(lambda e:lambda j:e(e(e(j)))))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))(lambda e:lambda j:e(e(j)))(lambda e:lambda j:e(e(e(j)))))(lambda e:lambda j:e(e(e(j)))))))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))(lambda e:lambda j:j)))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))(lambda e:lambda j:j)))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))(lambda e:lambda j:j)))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))((lambda e:lambda j:lambda a:e(j(a)))(lambda e:lambda j:e(e(j)))(lambda e:lambda j:e(e(e(j))))))(lambda e:lambda j:e(e(j)))))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))(lambda e:lambda j:e(e(j)))(lambda e:lambda j:e(e(e(j))))))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))(lambda e:lambda j:e(e(j)))(lambda e:lambda j:e(e(e(j)))))(lambda e:lambda j:e(e(e(j)))))))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))((lambda m:lambda e:lambda j:e(m(e)(j)))((lambda e:lambda j:lambda a:e(j(a)))(lambda e:lambda j:e(e(j)))(lambda e:lambda j:e(e(e(j)))))))(lambda e:lambda j:j)))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))(lambda e:lambda j:e(e(e(j)))))(lambda e:lambda j:e(e(e(j))))))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))(lambda e:lambda j:e(e(e(j)))))(lambda e:lambda j:e(e(e(j))))))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))((lambda e:lambda j:lambda a:e(j(a)))(lambda e:lambda j:e(e(j)))(lambda e:lambda j:e(e(e(j))))))((lambda e:lambda j:lambda a:e(j(a)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda 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j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))(lambda e:lambda j:e(e(e(j)))))(lambda e:lambda j:j)))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))((lambda e:lambda j:lambda a:e(j(a)))(lambda e:lambda j:e(e(j)))(lambda e:lambda j:e(e(e(j))))))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j)))))))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))((lambda m:lambda e:lambda j:e(m(e)(j)))((lambda e:lambda j:lambda a:e(j(a)))(lambda e:lambda j:e(e(j)))(lambda e:lambda 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a:e(j(a)))(lambda e:lambda j:e(e(j)))(lambda e:lambda j:e(e(e(j)))))))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j)))))))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))((lambda e:lambda j:lambda a:e(j(a)))(lambda e:lambda j:e(e(j)))(lambda e:lambda j:e(e(e(j))))))(lambda e:lambda j:e(e(e(j))))))((lambda e:lambda j:e(lambda m:lambda e:lambda j:e(m(e)(j)))(j))((lambda e:lambda j:lambda a:e(j(a)))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(j)))((lambda m:lambda e:lambda j:e(m(e)(j)))(lambda e:lambda j:e(e(e(j))))))((lambda e:lambda j:lambda a:e(j(a)))(lambda e:lambda j:e(e(j)))(lambda e:lambda j:e(e(e(j))))))((lambda e:lambda j:j(e))(lambda e:lambda j:e(e(e(j))))(lambda e:lambda j:e(e(j))))))(((lambda b:((lambda l:b(lambda h:l(l)(h)))(lambda l:b(lambda h:l(l)(h)))))(lambda b:(lambda g:(((lambda k:lambda l:(lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:j)((lambda e:lambda j:lambda a:a(e)(j))(l)(k)))(b(g[1:]))(((lambda b:((lambda l:b(lambda h:l(l)(h)))(lambda l:b(lambda h:l(l)(h)))))(lambda b:(lambda m:(((lambda m:lambda e:lambda j:e(m(e)(j)))(b(m-1))) if m else (lambda e:lambda j:j)))))(g[0]))) if len(g) else ((lambda e:lambda j:lambda a:a(e)(j))(lambda e:lambda j:e)(lambda e:lambda j:e))))))(input(\">>> \").encode())))(\"Well done!\")(\"Try again...\"))
\n

After formatting and reading through the now-more-readable code, I found that it validates the input character by character and returns an error as soon as an incorrect character is found.

\n

Therefore, by using this code and incrementally brute-forcing the input one character at a time from the beginning, I was able to retrieve the flag.

\n
flag = 'ictf{'\nwhile flag[-1] != '}':\n    for c in range(32, 128):\n        tmp = flag + chr(c)\n        try:\n            // challenge code\n        except TypeError:\n            flag = tmp\n            print(flag)\n            break
\n

Conclusion

\n

Obfuscation and VM challenges are tough.

\n

I want to improve my binary analysis skills.

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