Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EA2B63371495C3A135789D8E3D3750D92CBE6C7CB5688A4B7AC835C47E6CB0BD92628 |
|
CONTENT
ssdeep
|
384:1bmBuG+Depl6xzid7cNE+vBVesl9s8t1zrmb8oNCZJCZUmcimR0ovdDEey4we4dn:9I0mGSjD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9919c6e6a239b5a6 |
|
VISUAL
aHash
|
bf000008ffffffff |
|
VISUAL
dHash
|
5a521a1a58623262 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06c00008000 |
|
VISUAL
cropResistant
|
5a521a1a58623262,40e0e1e9e9e9e0bb,e7e7e3e327363420,35b7b6b725350119,72706070317179a1 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)