Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BED29672B010263B1293C3D97721F71FE2E3924AEA86194563FC836D4BD7E50DE2352A |
|
CONTENT
ssdeep
|
768:WeFy5NfC1HAQPhhvB47lJ5+eIYgsXq02/h7sOy2+y9BH4crIe:X1H1PhhS7Lfq7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d43e942db5c1 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc1c3e3cd0cc300 |
|
VISUAL
wHash
|
00fdf1710000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
c200c00258d88000,9cc9c3c3c1cd2cc2 |
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.