Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189A3CB23422975274437C2C1346A5B3BD1E6998FFEE70A410EECCBFA6BF9C90741A519 |
|
CONTENT
ssdeep
|
1536:7tpR4nXBKpSpFl26vK4uZtrmj20ux5DRb3:nUM94uZtrmjux5x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e305b33911e7e26c |
|
VISUAL
aHash
|
4000707058f5f1fc |
|
VISUAL
dHash
|
8a30c7c3910d0549 |
|
VISUAL
wHash
|
c2007070f8f5f1fd |
|
VISUAL
colorHash
|
31c00010000 |
|
VISUAL
cropResistant
|
8a30c7c3910d0549 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.