Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD120F716401EA2B21A3A3D88B74772FB2D28356CA570B02D3F8439E5FD7DA5EC63145 |
|
CONTENT
ssdeep
|
192:oOn7BNGg44o91w/EGGL4EYEwMP91osoEsoqrUejbAOFJsSLpNM34nLQa+Ej:oOnx44oxCNKUcUJ/Ia+K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
967bc93cb4056ac6 |
|
VISUAL
aHash
|
0000240606007fff |
|
VISUAL
dHash
|
1449cccc0c9cd480 |
|
VISUAL
wHash
|
820464460747ffff |
|
VISUAL
colorHash
|
310020001c0 |
|
VISUAL
cropResistant
|
a6b05a5acdda7ada,d4d4d4152b2b0000,1419c9ccdc0c9cd4 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.