Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EF275B072501A7B55E7C7F4B3B16B76B2E982CCC5578214A3FD43681BCAC51BE122A8 |
|
CONTENT
ssdeep
|
768:e8HpOUr8zooHo4T2YvOukA+2BpnOCZccarG/q1lNNew+:3whT2YvOukA+2BpnOCZ3b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3ac1d3cd02ec7c3 |
|
VISUAL
aHash
|
02637e646c00007c |
|
VISUAL
dHash
|
96cac8cc9888c0d0 |
|
VISUAL
wHash
|
526f7f7e6e00007c |
|
VISUAL
colorHash
|
100010001c0 |
|
VISUAL
cropResistant
|
96cac8cc9888c0d0 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.