Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F68320707134693F400B4AF6662D934572D38005EED23B02A6FE837A17B6D53ED9B28D |
|
CONTENT
ssdeep
|
768:187hji7T34ge7CoBpHsNFNxyEG3mVureA9l0JWpi1ERPnqwEp:187hji7T34gEConQs3mxAlpi1ERPqwEp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9fdfb3bf1880c0c0 |
|
VISUAL
aHash
|
8e92fe1e9da70f0f |
|
VISUAL
dHash
|
7866a0b8354ddd9d |
|
VISUAL
wHash
|
8eba7c0c1da7070f |
|
VISUAL
colorHash
|
01380001000 |
|
VISUAL
cropResistant
|
7866a0b8354ddd9d,0d8dc366d272329e,3131a3c4a9988c1b,69cca8f871b2d469,27345a7b3134d27a,5ec6b5533434c139,c4171b69524bcbab,d8ca4c393367c795,9505452919397d35,4d860f0f69693231 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)