Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121C2B9B19081E93B42C3D1F5AD765B4F72E2C649C993224B07F8C3EC0BD6C8ADD16A91 |
|
CONTENT
ssdeep
|
384:OvJWTV10V0U2OpKo6yInIPeXU6XZCrOqn4goRDDaWUrwG:tTV10VaOpKo6yInIPk5XAOGWl07 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8459707656d9596e |
|
VISUAL
aHash
|
0000383b37373737 |
|
VISUAL
dHash
|
88e4f2d3e5e6e6e6 |
|
VISUAL
wHash
|
00003b3f373f3737 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
88e4f2d3e5e6e6e6 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)