Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101C29572B110AA3B1293C3C9B751B31F93E39149EB46091943FD876E1BE7E90CE23525 |
|
CONTENT
ssdeep
|
768:CS5y5NHCKDA7wBbOfYGw7sOy2+y9BH4crIe:Rwt4YZ7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a99398dc1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9cccc0c8c9e70e00 |
|
VISUAL
wHash
|
00f478302c03ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,98ccc4c0c8cde70e |
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.