Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10EB3AA33411875274437C6D530A65B3BE2A6994FFAE70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:MSky5NDGJOLz4NP3+mZY9svblTOCVr0ZUJ5Kxv9YFtiuCa28y2OZL:skLz4NP/y9svbliCd0qHFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1aed2ac133 |
|
VISUAL
aHash
|
00000000000004ff |
|
VISUAL
dHash
|
92c8c8c2cacccc88 |
|
VISUAL
wHash
|
0064ee702034ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8001a0815c588090,9288c8c2cac8ccdc |
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)