Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CD2BA7162107A3B01D3D1DA73615B2BA2E3434FF6860511A2FD93BD1BE3E14DE2762A |
|
CONTENT
ssdeep
|
768:EedbUX9HhtUAs5VWQrBoi7sOy2+y9BH4cLIe:VoUv5VW2oi7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d607b430bd3cc587 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccccc8c8c88c00 |
|
VISUAL
wHash
|
027c74206064ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
8c08808158d88000,d4ccccc0c8c8c88c |
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.