Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FA2A632A0442B3F159383D97762F76EE2D36249DB85080953F8476D8BEBF90E91345B |
|
CONTENT
ssdeep
|
384:/3y5NJGC82wKmI4vlFcTQgPOXZqiaLwRLL4DnzMp8xCTs3IYsOy2+y9BH4ciUIe:/3y5NJGCTQgPOXoiaLwZ4DnQp8QG7sO9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767fd3ab2498092 |
|
VISUAL
aHash
|
000030000400ffff |
|
VISUAL
dHash
|
1c40c2c2eccdf000 |
|
VISUAL
wHash
|
80f870700e01ffff |
|
VISUAL
colorHash
|
39e00008000 |
|
VISUAL
cropResistant
|
002016160e200400,7000b00130b08000,1c14c2c2e8ccc3f0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.