Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D434BE43755F2215A7342E741AF3456333E752F280C09A0F229E9D9E6B44EAB067FC9 |
|
CONTENT
ssdeep
|
768:FYYj/98UpxiTpiDGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:P9/spizev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b139cece33318966 |
|
VISUAL
aHash
|
ffffcfc3c3ffe7ff |
|
VISUAL
dHash
|
4c309e9e9e161e1c |
|
VISUAL
wHash
|
00cfc3c3c3c7c3c7 |
|
VISUAL
colorHash
|
07600018000 |
|
VISUAL
cropResistant
|
4c309e9e9e161e1c,fc73fdfdd7dbbe9c |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.