Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BB3B4B021909D6A02E746E832626B37A1EDC759D5A7D545F2F883F91BCFC48DE23390 |
|
CONTENT
ssdeep
|
3072:Iz065MMrE6uV+woMXvY3Xe1WJ5mt7hjTyKzNzXFFb44V9HemTOQb3v8Kw4sFy81m:IzK9N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3043c31b7c7e71c |
|
VISUAL
aHash
|
2200747c6c6c6480 |
|
VISUAL
dHash
|
c411ccc8cccccc2c |
|
VISUAL
wHash
|
7200767e7e6c6e84 |
|
VISUAL
colorHash
|
38000010201 |
|
VISUAL
cropResistant
|
c411ccc8cccccc2c |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.