Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D730A33D3511103E05B98D8F1229B4E7312C76ACA138FB566F917B9E6CDCB52B62398 |
|
CONTENT
ssdeep
|
1536:8VFDOupbxqfQgL5dVQRwVl0qqx+v92XJVosVCDZnn+jeeeqJHIrxk222I222222X:mZp0xCbq+JSsdIxk222I2222222kLjQK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c02ecd32b991ef4c |
|
VISUAL
aHash
|
f9007a6e44407c7f |
|
VISUAL
dHash
|
8aa6e2988a8ad8ba |
|
VISUAL
wHash
|
7b407a4e42427e7e |
|
VISUAL
colorHash
|
06600018000 |
|
VISUAL
cropResistant
|
8aa6e2988a8ad8ba,8692939325651f23,8692939325651f23,099964f131272b2b,8692939325651f23,8692939325651f23,4b4b7198d8d08c4d,3692db4bd21a2b2b,2565477747496b21,8692939325651f23,8692939325651f23 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 20 techniques to evade detection by security scanners and make reverse engineering more difficult.