Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1104132706042ED6708F1B3D65336673FA2C942E3CA270A5292E99BCE5BD1C8CDC5F409 |
|
CONTENT
ssdeep
|
24:hrUsOQ/CXEODC6C6CowjW6nwjQ6X9wj+6HwjS60wjmN6/wjFDu676MNEjjwc1WBq:tPP/E36N6XD6l6ON6oDu6EfzoB36 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e8673d961669869 |
|
VISUAL
aHash
|
1c3e3e36183c0000 |
|
VISUAL
dHash
|
e0e4e4e4b2f0ccf0 |
|
VISUAL
wHash
|
7e7e7e7e3c3c0000 |
|
VISUAL
colorHash
|
30206008000 |
|
VISUAL
cropResistant
|
e0e4e4e4b2f0ccf0 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)