Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1338293B1D24394332B9792E330A5237B65F043CBE9471611A6FE437C6BFEC20AA131A5 |
|
CONTENT
ssdeep
|
384:xRaPQ1odYvphLFRIrp/y8SU3aFUURdE94zpObptIDT7cENFqCHDONKPvo8AsIXLT:TaPQ1odYvptF+rp/y8SQaFBg2qoGjBb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3d33c18436f393a |
|
VISUAL
aHash
|
4cfee07074001024 |
|
VISUAL
dHash
|
98d490c8ccd4f7d5 |
|
VISUAL
wHash
|
4cfef87874701135 |
|
VISUAL
colorHash
|
30030000000 |
|
VISUAL
cropResistant
|
4c4ccccd4dcccc28,98d490c8ccd4f7d5 |
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.