Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146E112E1C044DC3B131385E6F7FA675FB5A6C355CB020A8853F853AA5BDEC60C923A99 |
|
CONTENT
ssdeep
|
96:TkU8k79oh4lzH03feGnVBCzyEBWwvF2eJXUHFeeZXnz/hVBCuQPJ:QUd79oh4lzH031nezyEju35zJeuQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3434367b83cbcac |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
d8cc44000e236d03 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4667a94b5a984b4e,4020303030280812,0000000000000000,043449ddd4c8ccc4,03032323e0cc6363 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.