Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F536DE47751F6215A7342E780AF341A333D651B180D07A0B22CD9FAB9F84A9B057FD9 |
|
CONTENT
ssdeep
|
768:FcyOTYjl6yP52C4gBI5oTpiyGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/3:myOdyzpaEpdzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4939bcc23236c9b |
|
VISUAL
aHash
|
ffffc3c3c3d3e7ff |
|
VISUAL
dHash
|
4e3096869696961c |
|
VISUAL
wHash
|
20cfc3c3c3d3c3c3 |
|
VISUAL
colorHash
|
06001e00008 |
|
VISUAL
cropResistant
|
4e3096869696961c,362321a1a1a101a1,c8c0c0c4c4c2c2c0 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.