Rice Tea Cat Panda

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늦게 시작해서 쉬운 문제들 푸는데 시간을 전부 써버렸다.. pwnable 문제가 없는 점이 좀 아쉽다.

 

General Skills :: Come Eat Grandma

Google Sheets에서 version history를 보면, 2019년 10월 6일 7시 44분에 oh, woah, a FLAG 라는 제목의 changelog가 있다. 확인하면 플래그가 보인다.

 

ps. 모든 사용자가 수정 권한을 가지고 있기 때문에 이런 참사도 일어난다.

 

 

Flag: rtcp{D0n't_E^t_Gr4NDmA_734252}

 

General Skills :: Basic C4

BASE64 인코딩된 것처럼 보이는 문자열들이 있다. 한 줄씩 디코딩하면 아래의 결과를 얻는다.

 

Hah, you thought
Really? Did you actually keep going
lowkey dissapointed...
fun fact: Jess is actually a cat
merp
*insert filler material here*
welp that should be enough data
if you can't tell already, decoding this isn't the answer

 

별 의미있는 데이터가 보이진 않는다.

 

디코를 보니 구글링을 하라는데, Basic C4로 검색을 해도 아무것도 나오진 않는다. 대신 문제 설명에 Avalanche가 대문자인 게 수상해서 Avalanche IO를 검색해봤다. (게싱 ㄷㄷ)

 

 

avalanche.io 페이지가 보여서 들어갔더니, 위에 C4가 보인다. 흠...

 

 

da_bomb.txt 파일을 올리면 c4로 시작하는 긴 문자열을 얻는다. 플래그 포맷에 맞춰서 submit 하면 된다.

 

Flag: rtcp{c42CW3TbiGhvptM36RJJ9ScctgkskjvZPo6dG8JexzZRvzQR6hwovZJLDkYK5pZ6cq9e7fX1ShUiYUdM7H1Uuqj64G}

 

General Skills :: Sticks and Stones

제목을 보자마자 Guilty Gear X2가 떠올랐다...

github의 repo 링크가 있는데, 4.89MB 크기의 텍스트 파일이 올라가 있다. 여러 가지를 검색해 보다가, 플래그에는 왠지 언더바(_) 가 들어갈 것이라는 예측을 하고 검색해보니 6개의 결과가 나왔고, 모두 같은 괄호 안에 있었다.

 

Flag: rtcp{w0Rd5_HuRt_,_d0n'T_Bu11y_,_k1Dz}

 

General Skills :: NO¯Γ̶ IX

제목이 숫자라는 것을 문제 설명에서 알 수 있는데, IX가 9라서 0x100-9=0xF7을 얻었고, F7을 보내주니 정답이 떴다. (?)

앞에 NO랑 이상한 문자는 뭔지 잘 모르겠다.

 

Flag: rtcp{F7}

 

Binary/Executable :: print(f) to Pay Respects

Portal.dll을 열어보면 플래그가 보인다.

 

// Segment type: Pure data aRtcpS0m3t1m350:                        // DATA XREF: Portal.Program__Main+F↑o     text "UTF-16LE", "rtcp{s0m3t1m35_0n1y_s0m3tImEz_sn^k3z_ar3_u5EfuL}",0          // end Portal.Program__Main

 

Flag: rtcp{s0m3t1m35_0n1y_s0m3tImEz_sn^k3z_ar3_u5EfuL}

 

Reverse Engineering :: What's the Password: Revisited

 

do   {     if ( off_201020[80 * i] != (((buf[i] ^ 0x32) + 1) ^ 0x32) )     {       puts("Hey, that's not right!");       exit(0);     }     ++i;   }

 

xor와 덧셈 연산을 하고, 결과값을 0x201020과 비교한다. 0x201020에서 결과값을 따와서 역연산하면 된다.

 

Flag: rtcp{fL492_r_50m371m32_5Pr34D_0U7}

 

Web :: Robots. Yeah, I know, pretty obvious.

robots.txt를 보면 2개의 페이지가 disallow에 포함되어 있는데, /robot-nurses를 보면 된다.

 

Flag: rtcp{r0b0t5_4r3_g01ng_t0_t4k3_0v3r_4nd_w3_4r3_s0_scr3w3d}

 

Web :: No Sleep

gamerfuel 쿠키가 set 되어있는데, 값을 보니 타임스탬프 형식이다. 시간을 당겨서 현재 시간 이전으로 만들어주면 된다.

 

Flag: rtcp{w0w_d1d_u_st4y_up?}

 

Web :: Phishing for Flags

GIVE ME BACK MY EYEHOLES.eml 파일에서 유의미한 링크를 찾을 수 있다: https://riceteacatpanda.wtf/phishingemail

(이게 웹 문제인가?)

 

Flag: rtcp{r34d_b3f0rE_yOU_C1iCk}

 

Web :: Uwu?

페이지가 빠르게 슉슉 넘어가는데, Burp나 다른 툴로 하나씩 살펴가면서 플래그 형식을 검색해주면 된다.

/you-better-wash-your-rice에서 rtcp를 검색하면 플래그가 보인다.

 

Flag: rtcp{uwu_,_1_f0und_y0u}

 

Web :: What's in The Box?!

상자에 javascript href가 걸려 있는데, 주석에 플래그가 부분씩 담겨 있다. 합하면 플래그가 된다.

 

javascript: function spawncat() {
  var cat = document.createElement("IMG");
  var cat_right =
    "data:image/gif;base64,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";
  var cat_left =
    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";
  var cat_idle =
    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";
  cat.setAttribute("src", cat_idle);
  var x = Math.random() * (window.innerWidth - 64);
  var y = Math.random() * (document.documentElement.scrollHeight - 64);
  var dx = 0;
  var dy = 0;
  var onGround = true;
  /*rtcp{*/ var ticks = 0;
  var jump_t = 20;
  var move_t = 180;
  cat.style.cssFloat = "left";
  cat.style.position = "absolute";
  cat.style.width = "64px";
  cat.style.height = "64px";
  cat.style.left = 0;
  cat.style.up = 0;
  cat.style.zIndex = 100000000;
  document.body.insertBefore(cat, document.body.firstChild);
  setInterval(function() {
    ticks++;
    if (onGround) {
      if (dx != 0) {
        if (ticks >= jump_t) {
          /*k4wA1*/ onGround = false;
          dy = 2 + Math.random() * 4;
          jump_t = ticks + Math.floor(Math.random() * 100) + 10;
        }
      }
    } else {
      dy -= 0.1;
      if (ticks >= jump_t) {
        onGround = true;
        dy = 0;
        /*I_kitT3nz*/ jump_t = ticks + Math.floor(Math.random() * 200) + 50;
      }
    }
    /*_4_tH*/ if (ticks >= move_t) {
      if (dx == 0) {
        var temp = Math.random();
        if (temp > 0.5) {
          dx = 0.5 + Math.random();
          cat.setAttribute("src", cat_right);
        } else {
          dx = -0.5 - Math.random();
          /*3_w1N*/ cat.setAttribute("src", cat_left);
        }
        move_t = ticks + Math.floor(Math.random() * 200) + 25;
      } else {
        dx = 0;
        move_t = ticks + Math.floor(Math.random() * 200) + 25;
        cat.setAttribute("src", cat_idle);
      }
    }
    if (x + dx >= 0 && x + 64 + dx < window.innerWidth) {
      x += dx;
    } else if (x + dx < 0) {
      dx = 0;
      x = 0;
    } else {
      dx = 0;
      x = window.innerWidth - 64;
    }
    if (y - dy >= 0) {
      y -= dy; /*!!_4123*/
    } else {
      dy = -dy;
      y = 0;
    }
    cat.style.left = x + "px";
    /*2345}*/ cat.style.top = y + "px";
  }, 20);
}
var i;
for (i = 0; i < 2; i++) {
  spawncat();
}

 

Flag: rtcp{k4wA1I_kitT3nz_4_tH3_w1N!!_41232345}

 

Cryptography :: HOOOOOOOOOOMEEEEEE RUNNNNNNNNNNNNN!!!!!

BASE85 (ASCII85) 로 디코딩하면 된다.

 

Flag: rtcp{uH_JAk3_w3REn't_y0u_4t_Th3_uWust0r4g3}

 

Cryptography :: Don't Give The GIANt a COOKie

MD5 Hash

 

Flag: rtcp{chocolate mmm}

 

Cryptography :: 15

Substitution cipher다. 가장 많이 등장하는 okw를 the라고 가정하고, tovm이 rtcp랑 같다는 가정에서 출발해 차례대로 채워 나가면 치환표를 완성할 수 있고, 원문을 얻을 수 있다.

 

c = '''
Lhzdwt eceowwl: Dhtnwt Pcln Eaao Qwoohvw Okw qsyo okcln bah'i fslo cl baht Dhtnwt Pcln dhtnwt cy yazwalw'y eaao ehlnhy. Dho sy co ohtly aho, okso zcnko dw fkso bah nwo. S 4vksllwt hmqasiwi s mkaoa slalbzahyqb oa okw ycow ykafvsycln kcy ewwo cl s mqsyocv dcl ae qwoohvw, fcok okw yosowzwlo: "Okcy cy okw qwoohvw bah wso so Dhtnwt Pcln." Sizcoowiqb, kw ksi ykawy al. Dho okso'y wgwl fatyw. Okw mayo fwlo qcgw so 11:38 MZ al Xhqb 16, sli s zwtw ofwlob zclhowy qsowt, okw Dhtnwt Pcln cl rhwyocal fsy sqwtowi oa okw tanhw wzmqabww. So qwsyo, C kamw kw'y tanhw. Kaf ici co ksmmwl? Fwqq, okw DP wzmqabww ksil'o twzagwi okw WJCE isos etaz okw hmqasiwi mkaoa, fkcvk yhnnwyowi okw vhqmtco fsy yazwfkwtw cl Zsbecwqi Kwcnkoy, Akca. Okcy fsy so 11:47. Oktww zclhowy qsowt so 11:50, okw Dhtnwt Pcln dtslvk siitwyy fsy mayowi fcok fcykwy ae ksmmb hlwzmqabzwlo. Ecgw zclhowy qsowt, okw lwfy yosocal fsy valosvowi db slaokwt 4vksllwt. Sli oktww zclhowy qsowt, so 11:58, s qclp fsy mayowi: DP'y "Owqq hy sdaho hy" alqclw eathz. Okw eaao mkaoa, aokwtfcyw plafl sy wjkcdco S, fsy soosvkwi. Vqwgwqsli Yvwlw Zsnsuclw valosvowi okw DP cl rhwyocal okw lwjo isb. Fkwl rhwyocalwi, okw dtwspesyo ykceo zslsnwt ysci "Ak, C plaf fka okso cy. Kw'y nwoocln ectwi." Zbyowtb yaqgwi, db 4vksl. Laf fw vsl sqq na dsvp oa wsocln aht esyo eaai cl mwsvw. tovm{v4T3Ehq_f1oK_3J1e_i4O4}
'''
 
p = ''
charset = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
table   = 'SDVIWENKCXPQZLAMRTYOHGFJBU'
size = len(c)
 
for i in range(size) :
    if not c[i].isalpha() :
        p += c[i]
        continue
 
    ci = ord(c[i])
    if ci >= 97 : ci -= 32
 
    if table.find(chr(ci)) == -1 :
        p += '?'
        continue
 
    t = charset[table.find(chr(ci))]
    if c[i].islower() : t = t.lower()
    p += t
 
print(p)

 

Number fifteen: Burger King Foot Lettuce
 
The last thing you'd want in your Burger King burger is someone's foot fungus. But as it turns out, that might be what you get. A 4channer uploaded a photo anonymously to the site showcasing his feet in a plastic bin of lettuce, with the statement: "This is the lettuce you eat at Burger King." Admittedly, he had shoes on. But that's even worse.
 
The post went live at 11:38 PM on July 16, and a mere twenty minutes later, the Burger King in question was alerted to the rogue employee. At least, I hope he's rogue. How did it happen? Well, the BK employee hadn't removed the EXIF data from the uploaded photo, which suggested the culprit was somewhere in Mayfield Heights, Ohio. This was at 11:47. Three minutes later at 11:50, the Burger King branch address was posted with wishes of happy unemployment. Five minutes later, the news station was contacted by another 4channer. And three minutes later, at 11:58, a link was posted: BK's "Tell us about us" online forum. The foot photo, otherwise known as exhibit A, was attached. Cleveland Scene Magazine contacted the BK in question the next day. When questioned, the breakfast shift manager said "Oh, I know who that is. He's getting fired." Mystery solved, by 4chan. Now we can all go back to eating our fast food in peace.
 
rtcp{c4R3Ful_w1tH_3X1f_d4T4}

 

Flag: rtcp{c4R3Ful_w1tH_3X1f_d4T4}

 

Cryptography :: notice me senpai

Transposition Cipher의 한 종류 같은데, 아무리 많이 찾아봐도 모르겠어서 디코를 전부 뒤져보니 이런 힌트를 얻었다.

 

 

느낌표는 6개고 물음표는 9개다. Rail Fence 온라인 툴에서 r=6, offset=9로 해주니 플래그를 얻었다 ...

 

 t         l         y        
r c       _ o       _ 0       
   p     n   v     h   u     }
    {   1     3   7     r   m 
     i _       _ i       _ o  
      m         w         m   

 

Flag: rtcp{im_1n_lov3_wi7h_y0ur_mom}

 

Cryptography :: Wrong Way

주어진 문자열을 BASE64로 인코딩하고 플래그 형식에 맞춰주면 된다.

 

Flag: rtcp{unexpected_places}

 

Cryptography :: That's Some Interesting Tea(rs).......

CyberChef에서 막 돌리니 어쩌다가 찾았다.. 역시 게싱의 끝판왕 ctf 답다.

BASE32 > BASE58 > BASE62 > BASE64 > BASE85 순서대로 디코딩하면 된다.

 

Flag: rtcp{th4t5_50m3_54lty_t34_1_bl4m3_4ll_th0s3_t34rs}

 

Cryptography :: That's a Lot of Stuff . . .

숫자를 문자로 변환하고 합하면 44개의 숫자 모음이 나타난다. 여기서 20분 정도 막혔는데, 숫자들을 관찰하니 8이 넘어가는 게 없어서 8진법으로 변환하니 ASCII 문자열을 얻었고, BASE64로 디코딩하면 플래그를 얻는다.

 

Flag: rtcp{c0nv3rs10ns_ar3_4_c00L_c4ts}

 

Cryptography :: Pandas Like Salads

보자마자 Pigpen Cipher임을 알 수 있었다. 복호화하면 ysay{hjkahr_qqgdia_unr_kw_yrq_pm_nnfb} 라는 문자열을 얻는다.

ysay가 rtcp에 대응되어야 하므로, vigenere cipher를 시도해 봤다. 처음 rtcp를 맞춰주기 위해서 hzyj라는 문자열을 넣어 봤는데, offset이 cute와 똑같고, 문제 설명에 cuteness가 대문자로 되어 있어서 cuteness를 key로 넣어준 뒤 결과값을 caesar cipher, key=5로 복호화해 플래그를 얻었다.

 

Flag: rtcp{pandas_should_not_be_put_in_pens}

 

Forensics :: BTS-Crazed

strings "Save Me.mp3" | grep -i "rtcp"

 

Flag: rtcp{j^cks0n_3ats_r1c3}

 

Forensics :: catch-at

cat-chat을 해결하면 보인다. 채팅 중간에 뭔가 플래그처럼 생긴(?) 텍스트가 있어서 제출해봤더니 바로 정답이 떴다..

 

Flag: rtcp{w0w_d15c0rd_h4s_s34rch_f34tur35}

 

Forensics :: Allergic College Application

아마도 인코딩 방식을 노리고 낸 문제 같은데, Notepad++에서 보니 가장 아래 줄이 정상적으로 보인다..

github에서 보면 모든 텍스트가 정확하게 보인다.

 

Flag: rtcp{我_只_修改_了_两_次}

 

Forensics :: cat-chat

대충 봐도 morse code처럼 보인다. nya를 점, meow를 선에 대응시키고 복호화하면 된다. 문제 설명을 복호화한 결과는 아래와 같다.

 

WAIT WAIT WHAT THE HECK IS GOING ON HERE !!!!

 

디스코드의 #catchat 채널에 있는 모든 채팅을 복호화하면.. 결과

아래는 복호화를 위한 스크립트다.

 

#!/usr/bin/python3
 
TABLE = {}
 
 
def init() :
    global TABLE
 
    TABLE['01'] = 'a'
    TABLE['1000'] = 'b'
    TABLE['1010'] = 'c'
    TABLE['100'] = 'd'
    TABLE['0'] = 'e'
    TABLE['0010'] = 'f'
    TABLE['110'] = 'g'
    TABLE['0000'] = 'h'
    TABLE['00'] = 'i'
    TABLE['0111'] = 'j'
    TABLE['101'] = 'k'
    TABLE['0100'] = 'l'
    TABLE['11'] = 'm'
    TABLE['10'] = 'n'
    TABLE['111'] = 'o'
    TABLE['0110'] = 'p'
    TABLE['1101'] = 'q'
    TABLE['010'] = 'r'
    TABLE['000'] = 's'
    TABLE['1'] = 't'
    TABLE['001'] = 'u'
    TABLE['0001'] = 'v'
    TABLE['011'] = 'w'
    TABLE['1001'] = 'x'
    TABLE['1011'] = 'y'
    TABLE['1100'] = 'z'
    TABLE['01111'] = '1'
    TABLE['00111'] = '2'
    TABLE['00011'] = '3'
    TABLE['00001'] = '4'
    TABLE['00000'] = '5'
    TABLE['10000'] = '6'
    TABLE['11000'] = '7'
    TABLE['11100'] = '8'
    TABLE['11110'] = '9'
    TABLE['11111'] = '0'
    TABLE['010101'] = '.'
    TABLE['110011'] = ','
    TABLE['111000'] = ':'
    TABLE['001100'] = '?'
    TABLE['011110'] = "'"
    TABLE['100001'] = '-'
    TABLE['10010'] = '/'
    TABLE['10110'] = '('
    TABLE['101101'] = ')'
    TABLE['010010'] = '"'
    TABLE['10001'] = '='
    TABLE['01010'] = '+'
    TABLE['011010'] = '@'
    TABLE['001101'] = '_'
 
def convert1(enc) :
    enc = enc.replace('nya', '0')
    enc = enc.replace('meow', '1')
    return enc
 
def convert2(enc) :
    r = ''
 
    for c in enc.split() :
        if c == 'purr' :
            r += ' '
            continue
 
        try : r += TABLE[c]
        except KeyError : r += c+' '
 
    return r
 
 
if __name__ == '__main__' :
    init()
 
    cat = open('./chat', 'r')
    text = open('./chat-dec', 'w')
 
    while True :
        enc = cat.readline()
 
        if not enc : break
 
        mc = convert1(enc)
        dec = convert2(mc)
 
        text.write(dec+'\n')
 
    cat.close()
    text.close()

 

Flag: rtcp{th15_1z_a_c4t_ch4t_n0t_a_m3m3_ch4t}

 

Misc :: Strong Password

Flag: rtcp{Rice_Tea_Cat_Panda}

 

Misc :: Off-Topic

A Friend In Need Is A Friend Indeed 문제를 먼저 해결해야 풀 수 있다.

디스코드의 #off-topic 채널의 설명을 보면 서버 이미지의 판다 이름을 알면 포인트를 얻는다고 하는데..

 

 

ctf 홈 페이지 소스를 보면 alts 태그가 붙어있는 걸 볼 수 있다.

 

<img class="w-100 mx-auto d-block" style="max-width: 350px;" src="/files/71a3cdff21828480efb3bd1a2203c159/riceteacatpanda.png" alt="Jubie">

 

Flag: rtcp{Jubie}

 

Misc :: A Friend In Need Is A Friend Indeed

Jade한테 DM으로 뭘 보내면 되는데, 여러 번 삽질하다가 Strong Password의 flag를 보내주니 플래그를 받았다.

 

 

Flag: rtcp{awaken_winged_sun_dragon_of_ra}

 

Misc :: Survey!

설문조사를 완료하면 된다.

 

Flag: rtcp{th^nk5_f0r_p14y1ng}