Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171D1FDB19095B93B219682D007B16B6FA3D7A768CE63474BCBF5D38D2F87C91EC02105 |
|
CONTENT
ssdeep
|
96:PQqZwu5mFx/RS8zAN6nh1kXdN54Fas325HzexXaDJ:YduAFxgPg1Y7WQDaXaDJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0cd3232cfd33493 |
|
VISUAL
aHash
|
ffffffffc7878787 |
|
VISUAL
dHash
|
8ab2bab32f0e0d2d |
|
VISUAL
wHash
|
c1c3dbdb83838387 |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
8ab2bab32f0e0d2d,f0323323232323d8,4949c9e9f878e8f8 |
Fake Bets10 site positioned to capture victims through SEO tactics, typosquatting, or paid advertising. Serves as entry point for multi-stage attacks including credential theft and malware distribution.
Malicious code is obfuscated using 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)