Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127D155E0D450ED3B471385D9A7F96B0B7791C349CB06094493F893FB6BCACA0CA2699D |
|
CONTENT
ssdeep
|
96:TkpWz8B3eSTYOn0eZtGSt7VLwvF8ieEqX9HFJeBXYX/3Y2ST5J:QpWz8BrM6tGSHBFE2muXfub |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303f8fcf880f8f8 |
|
VISUAL
aHash
|
3f3f3f3f3fffffff |
|
VISUAL
dHash
|
c4cddcd8d020c000 |
|
VISUAL
wHash
|
3f273f2f3f0f0000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
c4cddcd8d020c000,7136080000000000 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)