Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132A36A33411935274437C6D130B55B3BD2A69A5FFAA70A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:2Sjy5NOK7VKLz4NP3+mZY9svblTOCVryc4vuIBL:FLz4NP/y9svbliCdnk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2e7cd32693c1269 |
|
VISUAL
aHash
|
c0fefe00600e0c78 |
|
VISUAL
dHash
|
8cccccc0d98c78d2 |
|
VISUAL
wHash
|
c0fffe784c0f0078 |
|
VISUAL
colorHash
|
300410002c0 |
|
VISUAL
cropResistant
|
ca55714d4d715596,8cccccc0d98c78d2 |
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.