Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D03B5331508B76F13D381D463347A9DD3A68688D3A61E48F2E9831AABD5E41CD37BD8 |
|
CONTENT
ssdeep
|
768:MOWjWha4sVQSeIOJfA7q/aHaSfuvbQVP/4oqWqE:MOWj2a4sa/IOJfSq/M2vbasWqE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebebcac8ca96 |
|
VISUAL
aHash
|
ff06060606ffffff |
|
VISUAL
dHash
|
71ccccecec3c3863 |
|
VISUAL
wHash
|
fd060606060efff9 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
0021c56961c50162,96d6e8b294710f8e,c0303c0d6c697113,ecccececccececec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)