Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104929536E0507D7B0193D5E56B28A74EB2E682C8CDBB5B0367F2839D8FC6C9189510A6 |
|
CONTENT
ssdeep
|
192:qKgKfKKkaONiN0yr2ZPMh7b7cIpVb2w8zdzXsiuJYrj/5vmg22e0WKX1:qbo3Ki+y79MdsTOrjNmhjty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c3671d9639ec861 |
|
VISUAL
aHash
|
003c3434183c3c00 |
|
VISUAL
dHash
|
e0e4e4ecb2b0b0cc |
|
VISUAL
wHash
|
3c7e7e7e183c3c00 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
88292befefe489ac,88aa2be6cfe52988,e0e4e4ecb2b0b0cc |
Fake Multiple (Sands, bet365, Grand Lisboa, Suncity) 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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)