Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10342A6B2D98D59335A73D1D8E9B39F1AF5814A8DC4838781C1F5C35D3AC6DA6EE07204 |
|
CONTENT
ssdeep
|
192:ywN9bHUOu4/JVQsh+VVQRQ1sYdUVF7+ZEusn7k3zS3DoHZRG:4cVbRQLdUVF7+ZEusnY3zeDoHZRG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce336493753199cc |
|
VISUAL
aHash
|
10183c183c3c3838 |
|
VISUAL
dHash
|
6969717161616162 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c38 |
|
VISUAL
colorHash
|
3900e000000 |
|
VISUAL
cropResistant
|
32323232b2aa9ab6,233321390d193b03,44a5d890a2dc8ca2,6969717161616162 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.