Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1034240B21052BA7B41A392E65679436B33C0CA27EC670F2567F8979C4FD2EA4FC57009 |
|
CONTENT
ssdeep
|
192:zXr0oAZwgF98HusAZ19HSvAZjWkpms9HPtsli/j8p5Bthp5iAi87p57n6aGQzQja:zXr0digF98HuhLpSYV4s9HPiliQScmaZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c9cb73564843793 |
|
VISUAL
aHash
|
461c3c1800007e00 |
|
VISUAL
dHash
|
d67171b632c8d8c4 |
|
VISUAL
wHash
|
6a3c3c18007e7e7e |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
d67171b632c8d8c4 |
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.