Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179236331504DAB23067AC2E45793AF67B3845185D9238B8983FC839E5ECDDE0EDA6217 |
|
CONTENT
ssdeep
|
768:PhIIH9EJJaLG2za8VORbZZcC/OxToDREAq:JIIHWJa5QRjDRO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b19e64ce8e31cc9c |
|
VISUAL
aHash
|
ffc7c7c7e7c3c3c3 |
|
VISUAL
dHash
|
2f9e9e9e1e9e9e9e |
|
VISUAL
wHash
|
87c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06000011400 |
|
VISUAL
cropResistant
|
2f9e9e9e1e9e9e9e,54cec68e84cccc33,849e3a0a6a7a1a44 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.