Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4A35833411835274437C6D530A55B3BD2A69A5FFAE70A010EECD7FA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:9mep7TamXLz4NP3+mZY9svblTOCVrMxrbWK+4zFtiuCa28y2OZL:BlLz4NP/y9svbliCdfviFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d53a9c29bc49 |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
88ccc0c8cd8dc3f0 |
|
VISUAL
wHash
|
0cf670006c61fcff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,98ccc8e8cccd8dd0 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.