Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6235AB26722B8A843DB91EEB73C3D56B2D1489DF8C74510F5C95A8D23C3C812297BB4 |
|
CONTENT
ssdeep
|
768:aU8A+EsZx8/G8C4QUDawAM6BCwvM6BDwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqD3:aU8A+EsZ/8VQUDawAM6BCwvM6BDw0N2D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf7ad0c02f95906a |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
5d11154545000000 |
|
VISUAL
wHash
|
8180810181ffffff |
|
VISUAL
colorHash
|
06007200040 |
|
VISUAL
cropResistant
|
5d11154545000000,8cb2b29696c6c6d0 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.