Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114F2C572A1043437327781DDF5A9BB19A2D3D20EC74708E1B3FC92BA1BE5CA2F522955 |
|
CONTENT
ssdeep
|
768:HzXlWLUhEpZYvXDPaTplztNl2jQdINOvmFBepK7ECiXi7F6XkxbLEPvZt5:HzXlWLUhEpZYvTPaZdINO+UpiJ6XkxLw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8039e7e739c669a4 |
|
VISUAL
aHash
|
e10c00000070367a |
|
VISUAL
dHash
|
4390808090e0e4c4 |
|
VISUAL
wHash
|
e10900007f7f7e7e |
|
VISUAL
colorHash
|
07040007000 |
|
VISUAL
cropResistant
|
4390808090e0e4c4 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.