Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1A36833411875274437C6D530B55B3BD2A68A5FFAA70A010EECD7FA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:Vmep3g9XLz4NP3+mZY9svblTOCVrGd4AuIojFtiuCa28y2OZL:FKLz4NP/y9svbliCdmDuFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c253d53a9929bd2a |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
d8ccc8c8cd8dc3e4 |
|
VISUAL
wHash
|
0cfe70007c6570ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,98ccccc0cccd89c4 |
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.
Pages with identical visual appearance (based on perceptual hash)