Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC5141B3941DB9132F62EADDF8F1D34EE543C68C8A946DC4E1E8C11E65C0DF9C984289 |
|
CONTENT
ssdeep
|
48:lmIT+21nIGNcIa4j1Ne4C0Ra4jswXwdPzku30Wrj+Wb0z0Btbq89bxLxRDAzAFyN:1ZbHArPzBco799t6zgySpeP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3336464319b6575 |
|
VISUAL
aHash
|
c3efededc7c3ffff |
|
VISUAL
dHash
|
860929699c062800 |
|
VISUAL
wHash
|
033f0f0f070b0f0f |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
860929699c062800,0141819181410101 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)