Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182F2A670B1042A3F4197C3D8B362B72FA2D3928DCB4A051612FD576E4FABE91DD23529 |
|
CONTENT
ssdeep
|
768:1Ky5NdVeI7UDmral3v61HQ7sOy2+y9BH4c1Ie:hlSVvIw7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33abc67c661c58c |
|
VISUAL
aHash
|
000000203000ffff |
|
VISUAL
dHash
|
1d19c9c8c8c8c300 |
|
VISUAL
wHash
|
008c0c7c7c20ffff |
|
VISUAL
colorHash
|
3ac00008400 |
|
VISUAL
cropResistant
|
4280800270908000,5d1959c8c8e0c9c3 |
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.