Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D1393BA035143DE59DBCBE8AF786C8421A4E0CFF49581D0A7995A41DEE7CE4F40C7A0 |
|
CONTENT
ssdeep
|
768:9KIa39XQRNexeZLPC7nkh75sg5pQkm+JmKYvFbG3Sz5WZ/C4:9M9XQRTFCYH5p3OkCzc/F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8bea3aaf28a8c32e |
|
VISUAL
aHash
|
31387c78383c0101 |
|
VISUAL
dHash
|
c1e0e9b3d555d7cf |
|
VISUAL
wHash
|
71787c7d3d3d0103 |
|
VISUAL
colorHash
|
30006400000 |
|
VISUAL
cropResistant
|
c1e0e9b3d555d7cf |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)