Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136C3C530A1A0743F010304EAB63B773812ACA3AFF70155D466BC1374EBEADF5A972199 |
|
CONTENT
ssdeep
|
1536:V7ztplRl9D7q/VRgRXxeM1xeqxeBIaLZg4e:V7zF9FXPLn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e331999931cc9967 |
|
VISUAL
aHash
|
ebe7e3f7c3ffe7e7 |
|
VISUAL
dHash
|
524c4d6c4c70686c |
|
VISUAL
wHash
|
0b23233f033f3727 |
|
VISUAL
colorHash
|
07400010000 |
|
VISUAL
cropResistant
|
524c4d6c4c70686c |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.