Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186A385B25251683760B7A6D9F125671AA3C3C34FC68287E6E2F8D35B1EC6C91FC1344A |
|
CONTENT
ssdeep
|
1536:yb5XWnSrYnVuOVuO5uOhY6uFUtJnzIduMi8cQO9:E5XW5nVuOVuO5uOmrUtJnzIduM7cQO9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b41347113c9ceccf |
|
VISUAL
aHash
|
0000ffdfcfc3ffc3 |
|
VISUAL
dHash
|
e8c8b6349e9e2606 |
|
VISUAL
wHash
|
0000d7dfc3c3dfc3 |
|
VISUAL
colorHash
|
07201008280 |
|
VISUAL
cropResistant
|
e8c8b6349e9e2606 |
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 106 techniques to evade detection by security scanners and make reverse engineering more difficult.