Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAC29575A110273B02A3C2CDB3A1BB1EA3D3868DD74A191553FD876D0BE7E40BE27156 |
|
CONTENT
ssdeep
|
384:vke7N9SqGBvOqVZOwAPYfUTK3KIUbHE0QIYsOy2+y9BH4cUUIe:8e7N9kAwfeK3KXHs7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c307b438bc3ce4e5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9cce4c8c8c800 |
|
VISUAL
wHash
|
067c74300064ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
cc00880258988000,dcc9c8cce0c8c8c8 |
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.