Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC4453230219792A4437C3D0247A9B76D2A6DE8BFAA30A404FECC7F77AE9C54741A51D |
|
CONTENT
ssdeep
|
1536:KiZKgWx8UgQmTa3MZo+Hd1+FgqvvUNXc4Z2PUegYkIjI1rzrV8UxKGCVCkHgd+Sz:CgWx8OQiXvC+1WKGCVCHfQYH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9210ece46db7b217 |
|
VISUAL
aHash
|
000c0c0400ffffff |
|
VISUAL
dHash
|
b4b0d8d83a850333 |
|
VISUAL
wHash
|
001c0e0c00ffffff |
|
VISUAL
colorHash
|
06000408018 |
|
VISUAL
cropResistant
|
2100e2e2e2e2eaea,82a690cccd8cb2aa,61050c0333292333,84b0b8d8d8981a45,6921cccca1d89992 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.