Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CF2993171006A3F419783D9B752FB2BA2D78349EA4A050193FDC3AD5BE3D58EE2351A |
|
CONTENT
ssdeep
|
768:X5y5NTEQRJKMRiG5cWd7mry7sOy2+y9BH4c1Ie:zAJ1R/cWd7v7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c5cd926d38b8 |
|
VISUAL
aHash
|
3b1f838fcfd1f0fe |
|
VISUAL
dHash
|
e2b63e3e1d262698 |
|
VISUAL
wHash
|
3b0f038787c0f0fe |
|
VISUAL
colorHash
|
07006000080 |
|
VISUAL
cropResistant
|
e2b63e3e1d262698 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.