Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C30250E1D054DD33071281D6BBF67B6B76B6C319CB010E9453F853BA57CECA0CA226A9 |
|
CONTENT
ssdeep
|
96:TkTzTzQTf/RhkzFQSZHSsFKQdXdHFtFXlHFIFXLX/hPjt/QI+AT431:QTzTzQTf0zfHS1ir2XdpQi8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8707f0f981f8f0f0 |
|
VISUAL
aHash
|
3f3f373f3f3fff7f |
|
VISUAL
dHash
|
616e6e686d6c10c0 |
|
VISUAL
wHash
|
3f000123231fff3f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
616e6e686d6c10c0,f382b496b6a482f3,0836616136080000 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)