Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102D1876E5142E81B1AF2C17CFBA0B70CDD839586C3434E4951F48F6EBEC5EA1D54125E |
|
CONTENT
ssdeep
|
96:HlQXPz+Cvq4rBsDJ/4bZqJJMVR38tgF1vTYw6IvoxVhFv1odD:HlGHi4ODJ/4NZV98ty1bYdHxiD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33399cc6666cc98 |
|
VISUAL
aHash
|
e7e7e7c3e7ffffff |
|
VISUAL
dHash
|
0c0c4c4d0c000800 |
|
VISUAL
wHash
|
c0c0c0c0c0fcfcfc |
|
VISUAL
colorHash
|
07040006000 |
|
VISUAL
cropResistant
|
0c0c4c4d0c000800 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)