Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBD2B672B140263B026BC3CAB711F35A92F3828DDA46090993FD875D5BE7D90DE6353A |
|
CONTENT
ssdeep
|
768:ySzy5NHCKVO3kAAHgat1kDUcemvZ7sOy2+y9BH4crIe:rKXgjDUb0Z7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363f53a9818b9c5 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
c8cbc3c8cdc9c500 |
|
VISUAL
wHash
|
60f3703c0400ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c400a00158d88000,d8cbc3c2cdcdc9c4 |
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.