Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1506262B24190943742A3D2D4B7602B4FF6D5828BC74B4B8982FC97AC9FDDEA5DC13921 |
|
CONTENT
ssdeep
|
192:4kOzYiepBEd/V19hYPtTtNyiHfpy8yrypyLyTcOxlccXTW9J+72:4kOzApB0nhWTbBnA6OQcOfcc0Je2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b93bce3838c7c618 |
|
VISUAL
aHash
|
818bebcfcfcfffff |
|
VISUAL
dHash
|
3b3b1b1b1b1a2313 |
|
VISUAL
wHash
|
818181cf8fcf83db |
|
VISUAL
colorHash
|
07000200006 |
|
VISUAL
cropResistant
|
3b3b1b1b1b1a2313 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.