Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FE1F0312498DC3302F3D1D6D7B42B9FB6E59A2ACA9746879AFC830E4BD6CD4CD52120 |
|
CONTENT
ssdeep
|
96:G+8qvTc+f20wb6kO8xLd3yM0di+S0/yeznWaGa2j8ffJV:J7vTHe04Rxd3yM0di+S0/VTXX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
972764859b2837dc |
|
VISUAL
aHash
|
4711843d3e2390c0 |
|
VISUAL
dHash
|
8fe73ce9784e3314 |
|
VISUAL
wHash
|
4735847d3f2798c2 |
|
VISUAL
colorHash
|
31201008040 |
|
VISUAL
cropResistant
|
f1c08c8e8e8ec0f1,8eccd06970cc8c8e,8ccd2d2d2c8c8ccc,8fe73ce9784e3314 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.