Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E73847291102437617B79CAF165B71AA2D3C70FCA8256E1A2F8939A0FD6CE1FC1744E |
|
CONTENT
ssdeep
|
1536:Sa1XWn9rhKk+pm2JuBSUuO0ecnyZgHgHgHgHgHgHgHgHgHgHgHgHgHgHlHNHl9ex:v1XWjKkF44duOGhAAAAAAAAAAAAAFtFC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6366343999c9ccc |
|
VISUAL
aHash
|
0000d3dfffffffff |
|
VISUAL
dHash
|
c8cca6343e021206 |
|
VISUAL
wHash
|
000000cfcfffffc3 |
|
VISUAL
colorHash
|
07600000180 |
|
VISUAL
cropResistant
|
c8cca6343e021206,1d2c0d91979f2727 |
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 209 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)