Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA9231318052ED3712A3D2D6F67A6B1EB2E6824DCA031B1553FC93EDABDEC90ED21445 |
|
CONTENT
ssdeep
|
384:TS7ensw444o6CJ/Rp9j0fqYugbH7xj0EH9P38mjZFVr1qZHhat:Tuensw444lbH7xgGZFVr1qPu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0861f5c3dc3c3d2 |
|
VISUAL
aHash
|
02237563d2f0e000 |
|
VISUAL
dHash
|
b6e7c9cf8692811b |
|
VISUAL
wHash
|
1e2375f3f2f8f000 |
|
VISUAL
colorHash
|
0000060000a |
|
VISUAL
cropResistant
|
4acccc8ccc535291,b6e7c9cf8692811b |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.