Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BE3F7F5A3F8A2E8E80BC7F8E672A476316B34FF7F56C65851981D94F66108D884DC80 |
|
CONTENT
ssdeep
|
1536:V8ANd8P8PcMr/MuwWzZ0ueE++6Pc/Xy8ksKhY66g:srd6g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
898d25357d9b9a32 |
|
VISUAL
aHash
|
070f3f3f07070000 |
|
VISUAL
dHash
|
d7d7f9f19f9b9818 |
|
VISUAL
wHash
|
073f3f3f070f0f00 |
|
VISUAL
colorHash
|
01001380000 |
|
VISUAL
cropResistant
|
fe828282c28282be,fe82a2c2d28282fe,d7d7f9f19f9b9818 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.