Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2A10F394512EDBB0487E2E293B6431F32C8DB06DC631B262BFAA76D0FD5D99DD90205 |
|
CONTENT
ssdeep
|
96:i6Mjucy53OBs5d0xZe5E6P0CUSp/01ig+WBNwKep3rQ:i6Mjucaeu5d0xZeq6x36TB2KW3rQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea3e3b6a2a3a2a68 |
|
VISUAL
aHash
|
81ffbffff3ffffff |
|
VISUAL
dHash
|
3b482068c6c6c8c0 |
|
VISUAL
wHash
|
00201e3e727e7e7e |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
3b482068c6c6c8c0,fcb490b83f3f3f3f |
Fake WhatsApp 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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.