Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13951C9B5D8814C12BC2BC130DCE5861967028E9DE38702F28BE115BFA6D5DA5DDD72EC |
|
CONTENT
ssdeep
|
48:VAVVd6jPJYoD/k6jPBrRV9FP1A2AFP5fJtWtFPsk8kp8OLTovFJu:q09TBn9YLfqtZ8kp8QUu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8bf0970de85e89b2 |
|
VISUAL
aHash
|
7f7f7ef878383838 |
|
VISUAL
dHash
|
e0c6c1a3a3e361e1 |
|
VISUAL
wHash
|
3f3f7c7070383838 |
|
VISUAL
colorHash
|
07000018000 |
|
VISUAL
cropResistant
|
e0c6c1a3a3e361e1,4c4e74a4b3736155,6531b5b5b5b08d4c,5844642689f5e505,4c40617992e1e96d,2e2c2e0105050b02,290959312b1b0b0b |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)