Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140B332B77563D5367283B3E4D2202F4A71D1A36AC9131E05A6E5878E8F82DFBCC2D095 |
|
CONTENT
ssdeep
|
1536:PoJhCqrvvrWqUwF0Jz0csXpIpLakIL6RgnSo+2uhQK6aRUEUJ9R2ZR3ahWYYWnlA:CIok |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
933c93366cd36cc1 |
|
VISUAL
aHash
|
003c7c00002c7e7c |
|
VISUAL
dHash
|
9cf8d0c0d4c8d8d9 |
|
VISUAL
wHash
|
023e7e78006c7e7d |
|
VISUAL
colorHash
|
30006000080 |
|
VISUAL
cropResistant
|
f2f2f2f271612666,f083e0f6d29693ce,9cf8d0c0d4c8d8d9 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.