Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A91419B34144FA3B108787D0E635B769F3A281D9CE5646C9D3F0836E9BD2EE4CD1A894 |
|
CONTENT
ssdeep
|
1536:EgmoXv0pacwPdgmoXv0pLoBwUVxAKqcXtpDeFFk/HXqn8+/D:EbwPdcwUVxAKqcXtYLD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f21ced1cf384a4c3 |
|
VISUAL
aHash
|
ff00446c6c00e0e0 |
|
VISUAL
dHash
|
6218ccccc80cc488 |
|
VISUAL
wHash
|
ff00766e6e00fce0 |
|
VISUAL
colorHash
|
31000e10000 |
|
VISUAL
cropResistant
|
facccec6c49290ec,8080416da881a181,6218ccccc80cc488 |
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 6030 techniques to evade detection by security scanners and make reverse engineering more difficult.