Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12184D6E6E1E477E0A40BCBF8EA397671316F30FE76D9868992900FC4B355598994CEC0 |
|
CONTENT
ssdeep
|
1536:IbHn9ORBXL6v2/+eZgSjvd4oiKJWjLu6lfUOm/NzKAKHlcKjNiI7KN0ZlsaGILdP:Iz2Lf3s8OPZWxeEZAZXX7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf1aca6d4033b81e |
|
VISUAL
aHash
|
9f9f8e0600aba3ef |
|
VISUAL
dHash
|
29283c8c22024e4c |
|
VISUAL
wHash
|
9d1f0e0e00aba3ef |
|
VISUAL
colorHash
|
07600030000 |
|
VISUAL
cropResistant
|
29283c8c22024e4c |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 561 techniques to evade detection by security scanners and make reverse engineering more difficult.