Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12404C8E1A0806B7F425F87C99B75FED8B3EA105EFA950846C3D8839442D3CD4EEAB544 |
|
CONTENT
ssdeep
|
1536:oohanXLqLejO4BraXS2unUayrmpCqfMRUBAJprsIcMd9LFBB6ZBbB7ByBS:oohanweUm4BUBbB7ByBS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9849673634671f9c |
|
VISUAL
aHash
|
001c3c3c1c3c3c00 |
|
VISUAL
dHash
|
1771713331296916 |
|
VISUAL
wHash
|
003c7c3c3d3f7e42 |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
62329aa2b2aa332b,1771713331296916 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)