Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17363437502867A3F108382D1835CD75AE7C2E609CBA78D8B97EC835B2AC7DE0DD39164 |
|
CONTENT
ssdeep
|
1536:hWBqEnNAPDcuz0hh1nhA9i0xiPNzL01Sx8RQ8H6:AKZxva |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e841a2bc376cb6b1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
86d383131c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
9154569b922b2b44,38789d9c8c8c8d8f,2422f6d34dcaa3a5,82a28a969696a882,c53a382327400f0c,968fe3d3832b3397 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)