Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1883381747082733F20D3C2E6A7652B1FA1D58359C7275B16A3F9C7A80FE6CA2EC12159 |
|
CONTENT
ssdeep
|
768:F0aLe6K9zqJymfDrFGx6nXz32gkR8j8G3WlEVx8JBSBvB5J:ddFG4X5IK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c746d9319936d932 |
|
VISUAL
aHash
|
10303c3424600079 |
|
VISUAL
dHash
|
a4e46c6cc8c8edf3 |
|
VISUAL
wHash
|
38783c3c2c603cff |
|
VISUAL
colorHash
|
30001200040 |
|
VISUAL
cropResistant
|
32b2cc6b2b2bcaca,a4e46c6cc8c8edf3 |
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.