Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EA36B33411935274437C6D530A55B3BE2E79A4FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:/67pLz4NP/y9svbliCdvJYL1HWT5zFtiuCa28y2O9:ImAL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363c53ab01cbc6b |
|
VISUAL
aHash
|
00700000000030ff |
|
VISUAL
dHash
|
c8c3c3ccc909c1f0 |
|
VISUAL
wHash
|
60fb713c050178ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
4080812030808080,c8c3c3c8cdc9c3c0 |
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.