Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10832E931C10A006BA227C6E1EE25B35CB3E3836DCB621615D2FD52F576D8CE8D8A60C9 |
|
CONTENT
ssdeep
|
192:N1nB1m1BGTDZMRiOWoSPlWpxAW13ue3wj0VIDM18C6b:oGTDZMRi3PEpxAWZzGDM6vb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc399979cc6631 |
|
VISUAL
aHash
|
fffb323818081800 |
|
VISUAL
dHash
|
b2362626b2b23214 |
|
VISUAL
wHash
|
fffffb3818181800 |
|
VISUAL
colorHash
|
39400018000 |
|
VISUAL
cropResistant
|
6d6d646d656c787c,b2362626b2b23214 |
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 358 techniques to evade detection by security scanners and make reverse engineering more difficult.