Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120D2A732A1107A3B01A3D1C6B6A1572A63F7434FE6470526E3FD83AD0BEBD10DE27619 |
|
CONTENT
ssdeep
|
768:vKe8vnuarOJUmvW5s5iZW7rSXBL7sOy2+y9BH4c1Ie:vuuJUmvh5SW6XBL7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d607b43cbd34c586 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccccc0c8cc8c00 |
|
VISUAL
wHash
|
227c74302044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
8c0c808158d88000,d4ccccc0c8c8cc8c |
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.