Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158433CE93D55B1125BB350D3A0AF3A9BB33A142F640C55B0A154CE9970FC4A9507BFCE |
|
CONTENT
ssdeep
|
768:nyWuPyWD5/1Fu8n+sLLL1tnMRWvcoFUCwX8UbuSxuCaYe57KpSxHyOzxHRBaW/Sp:+6paY67zyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
837ec0e3c53c9cc3 |
|
VISUAL
aHash
|
1f3f1f1f3f1f3f3f |
|
VISUAL
dHash
|
e1e971f1c1f1f1f0 |
|
VISUAL
wHash
|
1f29031b3f05333f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
e1e971f1c1f1f1f0 |
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 694 techniques to evade detection by security scanners and make reverse engineering more difficult.