Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104C27371A154273B03A7C2D873A2BB2AB2D3824DD78E191153FD836D0BDBE00ED27566 |
|
CONTENT
ssdeep
|
384:1e4B7IuMMUXYQ5xv/BaSWTVaeuTwuYvn+IYsOy2+y9BH4cCUIe:1e4BpG9RBSJaYuYG7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c306b639bc3ce4c5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9c8c4c8c8c800 |
|
VISUAL
wHash
|
267c7c302000ffff |
|
VISUAL
colorHash
|
39040000e00 |
|
VISUAL
cropResistant
|
c880c80458988000,d4c9c8ecc0c8c8c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.