Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19643ED30A440E83B46CBA6C85A72672A23F68345C6170699FBF183ED5BDFD59CE33506 |
|
CONTENT
ssdeep
|
1536:uVJsIx3o4exJLsXexbHcUJjSj2vvmbXhUcOSSofb0gBN7F:ajo4OJLsXObHcUJjSj2vvmbXhUcMqN7F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d525fa3e58d22075 |
|
VISUAL
aHash
|
003e667e0204fcfc |
|
VISUAL
dHash
|
2de6cec2f6f49918 |
|
VISUAL
wHash
|
003e6e7e0204fffc |
|
VISUAL
colorHash
|
03081003000 |
|
VISUAL
cropResistant
|
2be0cececec0e6fe,fef6fce419181019,34cbcc2c6c0c0304,e2cececac6fefef4,0f3d36a6fcddddf3,8a9383cad88ac606 |
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 121 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)