Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E73D831A444AA3702A341C6DD64AB5DB3C6A3C9CF134F45B6F8527ABBD7FB19803198 |
|
CONTENT
ssdeep
|
1536:uay3beoOGhjCVHsafau36qXuP2t3UUB1wyfORTmZFOD+rQ9AaEnkeeeAebUnh9/:uay3by36qXuPu3Ui1wyfORTmy9AaEnzA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73c38c363cdc634 |
|
VISUAL
aHash
|
00003c3c3c3c3c00 |
|
VISUAL
dHash
|
4b3165694969e896 |
|
VISUAL
wHash
|
00087efefe7e3e00 |
|
VISUAL
colorHash
|
31208008200 |
|
VISUAL
cropResistant
|
6bc3839b8f85858c,4b3165694969e896,686d6f576f47476b |
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 541 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)