Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166332CF53D55B6124FA340D3A1AF258BB33E242F690C59A0B160DEE934B8499507BFCE |
|
CONTENT
ssdeep
|
768:JyWuPcNwGLWuHy9XMfjwqs/F5Q8n+/uzX8Ux51OO9ylantpSxHyOzxHRBaW/Sy3O:21OO9peyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
82fe4c1f9e8e0f81 |
|
VISUAL
aHash
|
1f013f0f3f3f7f3f |
|
VISUAL
dHash
|
e58be1f9d9e4c9d1 |
|
VISUAL
wHash
|
033f7f057f172501 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
e58be1f9d9e4c9d1 |
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 477 techniques to evade detection by security scanners and make reverse engineering more difficult.