Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164A18537F3560B24027103986E5D75FCC3CA841CCA9306F25D948D8E99B2AADA3F7287 |
|
CONTENT
ssdeep
|
96:AbWBNTPiyw/J4RR8t40UdAfK/GpaLxbjhmzgT:bTPzwBe8t40kAfK/qqRFmo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e36e9c15c3941ee4 |
|
VISUAL
aHash
|
002101216100ffff |
|
VISUAL
dHash
|
b6c3cbcbc76b9ee7 |
|
VISUAL
wHash
|
006161616169ffff |
|
VISUAL
colorHash
|
020020001c0 |
|
VISUAL
cropResistant
|
c3c3cbcbc77b96e1,fa56969296caaaa9,d4c0a28e8e80c4d8,b4c3c3cbcbc7cbfb |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.