Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8233A712232BC6853DB50DEB73D7A5672C2945CF8878810B5D866CD23C3DE52297BB8 |
|
CONTENT
ssdeep
|
1536:ajWtBisxSN+1H+KUwJMmBuwgMmB9YcMmBDYpMmBkUXx+y9dQyDF1ZAU84HaX0u:ajFwewSYKYUUXxpDzHy0u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b464c3cf3c3819c7 |
|
VISUAL
aHash
|
42e3c3c3f7ffffff |
|
VISUAL
dHash
|
0626969404100000 |
|
VISUAL
wHash
|
00c3c3c3c0fcfcfc |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0626969404100000 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.