Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105F1CF7200DE616B162F7AC7BC625B6F78F25338C9731A12F6FD1684EBD9D10E922604 |
|
CONTENT
ssdeep
|
96:tC2E6aWmafMFdusvQUM6gVX5ZII2rjJjSoY6bF6oJRBzR+XijpVzJx27MbKBruAn:wEaWf0zF6cHfGXWfL6rnMEg6BIq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6042f7ac0ff143a |
|
VISUAL
aHash
|
0301067fcf8485c1 |
|
VISUAL
dHash
|
ae6d9cac8d0d0d17 |
|
VISUAL
wHash
|
0323077fcf8785c3 |
|
VISUAL
colorHash
|
30002400008 |
|
VISUAL
cropResistant
|
ae6d9cac8d0d0d17 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)