Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBF24122C3956A6300B5C0DDD26B3B1AABC5474DE6468F7093BD837E7ECEC727911289 |
|
CONTENT
ssdeep
|
768:3eGIBebeTe7eMVeU94eLeHeDeJeme6eseYe1eYte+e2eaeipede3eveseYeTzKe9:3eGIBebeTe7eMVe24eLeHeDeJeme6esW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46342799b9ee02e |
|
VISUAL
aHash
|
e1e3e3ff83c180ff |
|
VISUAL
dHash
|
8b07c52a3b132606 |
|
VISUAL
wHash
|
c0e1e3ff81c180ef |
|
VISUAL
colorHash
|
06402008000 |
|
VISUAL
cropResistant
|
8b07c52a3b132606,dd7e3131252f3313,d5dad8dadddc3c43,d3dcdcd4c8dc3c43,43ccd8d8c0dc3c41,4a4848485498b847 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.