Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17ED2B671B140263B129783C97721F35FE2E3924ADA860D0667FC836D5BD7E90DE2352A |
|
CONTENT
ssdeep
|
768:teFy5Ni8qiUWKPJH+MtUSu5B87sOy2+y9BH4c1Ie:fqiLKPbtUhY7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d4389c2da5c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc9cbe3cd8cc500 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
c400c00258d88000,dcc9cbc3cbcdacc4 |
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.