Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120A1C8368822EE7B4583C2E247BA471F72C9DB56DC634B2667F9974C0FD6E85DC81208 |
|
CONTENT
ssdeep
|
96:ilBZzhBjSWrZUZSJjydC1p0XVcZKrNu2cCZlWu0+BawM0ePVti42:ilBZzhh5rZJydqWlcZKr5Z/0+Bat0V42 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb3e3b2a2a3a2a2c |
|
VISUAL
aHash
|
81fffffff3ffffff |
|
VISUAL
dHash
|
3b48674bc7c7cbc3 |
|
VISUAL
wHash
|
81a1a1e1e3e3e3e3 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
3b48674bc7c7cbc3,ffaebeb67f7f7f7f |
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.