Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACE12EB19095B53B6187C2C007B1AB6FB3D7A758CE63478ACBF5D3896B9BC91CC02108 |
|
CONTENT
ssdeep
|
96:PQZcwu5Al2Emx/RS8zDN6nM1kXqy54uaD325azTx5aDJ:YhuaYEmxgQx1YBWRIA5aDJ |
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)