Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4B277724041D53F066793E4A360FFA8A1C35209CB845544E7F8679AAFF7C92FC266A8 |
|
CONTENT
ssdeep
|
192:R6/7EbLOSwBRb4GCdYtZglVVI8jDIgV0kidpA2d7mDvUcDIxV0r:RPbTwBoOtGXJjDII0Rqi07DIP0r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c5c832c7c732c6 |
|
VISUAL
aHash
|
ee8fefa1c387dfff |
|
VISUAL
dHash
|
0a3b2c6b0f1c3a0e |
|
VISUAL
wHash
|
868be7a1878783e3 |
|
VISUAL
colorHash
|
07002200400 |
|
VISUAL
cropResistant
|
0a3b2c6b0f1c3a0e,b058d9c9c3d65c2d |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)