Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAA38B33411875274437C6D530A95B3BD2A6994FFAA70A010EECD7FB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:uSky5N+zIR94Lz4NP3+mZY9svblTOCVrh+8GGu+TD0ILFtiuCa28y2OZL:k1Lz4NP/y9svbliCdk6vFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1eed28c133 |
|
VISUAL
aHash
|
00000000000004ff |
|
VISUAL
dHash
|
92ccc8c2c8ccdc88 |
|
VISUAL
wHash
|
00e4e470203cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8011a0815c588090,888cccc2cac8dcdc |
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.