Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162A38A33411875274437C2D530B95B3BE2A6D95FFAA70A010EECD7EA1BFAC90B45B11A |
|
CONTENT
ssdeep
|
1536:kkgLz4NP/y9svbliCdIdSJRfFtiuCa28y2O9:BemA3dqE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9243f432cd38bd2d |
|
VISUAL
aHash
|
00200000000407ff |
|
VISUAL
dHash
|
ccc8c8c0cccc9db8 |
|
VISUAL
wHash
|
04fce0382e0f07ff |
|
VISUAL
colorHash
|
11c00008000 |
|
VISUAL
cropResistant
|
c3c1c18e96d7c3c2,1d009081303080a0,8cccc8c0c0ccec9d |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.