Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10773E8A279926532215F52CF9243275DA1D2C7CECA42A1F871F0C33D4FB1DA0BF92969 |
|
CONTENT
ssdeep
|
1536:Tt2hE1QIPmmJgzSygTcqp6T6njlfzS1Tw8IPmmJgzSygTcqp6T6njlfzS1TwFWd9:T75BORBMrQ/J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7699434df9069d1 |
|
VISUAL
aHash
|
0000380000007e7e |
|
VISUAL
dHash
|
b363d3613104f4e0 |
|
VISUAL
wHash
|
591078b898067eff |
|
VISUAL
colorHash
|
1b000030400 |
|
VISUAL
cropResistant
|
0c0c4d4d4d4d4d4c,060505051d595d79,4d4d4d4d4d4d4d4d,03040bd919393d3f,b363d3613104f4e0 |
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 781 techniques to evade detection by security scanners and make reverse engineering more difficult.