Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139A36A33411935274437C6D530A95B3BE2A68A5FFEE70A010EECD7EA1BFAC90745B11A |
|
CONTENT
ssdeep
|
768:SCvIJlfLz4NP3+mZY9svblTOCVrdD8uGt0FtiuCa28y2OZL:/IJdLz4NP/y9svbliCdFFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c246dd3a9139b94b |
|
VISUAL
aHash
|
00300000000000ff |
|
VISUAL
dHash
|
c8ece0c8cd8dc3d0 |
|
VISUAL
wHash
|
0cf670007c6578ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,88ece4c8cccd8dd2 |
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.