Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1499222B63354A6F77293C5F36221F7786256E24EF86BF6C9A3E1412B67C5C518C22320 |
|
CONTENT
ssdeep
|
192:F1Gkc8Y63JoPRrNillc1RXQZQmbuAMG1UldBch8H+5kGG64XVrZo:ZcyaKc1SCCu31dBch8H+5kD64XVlo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6c7cd2c92649999 |
|
VISUAL
aHash
|
e7e7e7e7e7c3c3ff |
|
VISUAL
dHash
|
2f0e0e4d4d161614 |
|
VISUAL
wHash
|
00e1e3e727030303 |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
2f0e0e4d4d161614 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.