Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119430E30A440E83B45CBA6C85A72672A23E68345C6130699FBF187ED5FEFD59CE33506 |
|
CONTENT
ssdeep
|
1536:afJsIxwF4ezJqsXezbmcUJjSj2vQmbXhUcOSSolffgBb7RF:kUF4UJqsXUbmcUJjSj2vQmbXhUcJYb73 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d525fa3e58d22075 |
|
VISUAL
aHash
|
0036667e0204fcfc |
|
VISUAL
dHash
|
2de6cec2f6f41819 |
|
VISUAL
wHash
|
043e6e7e0204fefc |
|
VISUAL
colorHash
|
03080003080 |
|
VISUAL
cropResistant
|
2be2cececec0e6fe,fef6fce419181919,34c3cc2c6c0c0304,e2cececac6fef6f4,0f3d36b6fcddd5f3,8a9383ca9886a706 |
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 103 techniques to evade detection by security scanners and make reverse engineering more difficult.