Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112A36833411935274437C6D530B55B3BD2A68E9FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:SCHuKLz4NP3+mZY9svblTOCVrjxFfHZC3FtiuCa28y2OZL:XXLz4NP/y9svbliCdNIFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c252c53a9529bd3b |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
c8c4c8c8cd8dc3d0 |
|
VISUAL
wHash
|
7cfc30006c6178ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,c8c4c8c8cccd8bc2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.