Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8A3FD3B5A48DEBF038296D553356F1F32D6B248DA2B07256AF7A3D84B83D958D210CC |
|
CONTENT
ssdeep
|
3072:nAa55RZRwu9SA+wNrc0c5PE6gdiDokLzbT:nAwNSfT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b7b5ae6a5a9a6820 |
|
VISUAL
aHash
|
81a6668e80a0be2c |
|
VISUAL
dHash
|
0d4e5e5a40545454 |
|
VISUAL
wHash
|
83e7e28e80a0bebe |
|
VISUAL
colorHash
|
38200018200 |
|
VISUAL
cropResistant
|
0d4e5e5a40545454 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.