Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126D2C431A1102B3F019383D9B752F72EA2E39389DB85180663FC836D5BDBD54DE2352A |
|
CONTENT
ssdeep
|
768:QSzy5N7EjOw256xCLcQTV9eV/7sOy2+y9BH4crIe:FHk7TV4J7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d53ab019b9cc |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
d8c7c3d8cdc9c100 |
|
VISUAL
wHash
|
64f370340400ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c200a00158d88000,d8cbc7c2cdcdc9c2 |
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.