Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139D26171A1546A3B42D383D9B371AB2FB2E3C249DB87061642FD835C0FE6E40DE67526 |
|
CONTENT
ssdeep
|
384:dZMv2pN4O1V1i12d3xxF/KdP9K5Qe8ALl6T1w7Ge76bAygSoIYsOy2+y9BH4cUUl:dZTc9Tp1ieUb7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f412c939b9e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
cccc40c8cccc2d00 |
|
VISUAL
wHash
|
04fc30300c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cdcdcdc3c3c3,0880880458988000,9cec48c8c8cccc2c |
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.
Pages with identical visual appearance (based on perceptual hash)