Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1929242103673887B012FF5D4AA992B4359D7E30BC7825BE2A5F841F827C9C65BD172E2 |
|
CONTENT
ssdeep
|
384:lJe606Ne1Zsi0yVjr2eHW3nGPAbKmHUqno:lJvQXVP20PAbUqno |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8b947c730b819c7 |
|
VISUAL
aHash
|
efff8f8fffffff00 |
|
VISUAL
dHash
|
0c6c1e3e2cd00010 |
|
VISUAL
wHash
|
e3a38181f0f0f300 |
|
VISUAL
colorHash
|
07c01000040 |
|
VISUAL
cropResistant
|
0c4c1e1e3c002800,e4828b0dbc2455bc,0000000810121252 |
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 224 techniques to evade detection by security scanners and make reverse engineering more difficult.