Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1235263B6A0C1753B419786F1DD22773FB1C642C4E6572E01A2FE52898FCBF89CD21682 |
|
CONTENT
ssdeep
|
192:abKIK/nBFUqs2s8vdobeWIRkyzeGxuqvuqwH9Xa/3OIxft:SKF/tJAe36ROuhdIxft |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89a3d4f2e2c6f609 |
|
VISUAL
aHash
|
ff3f010101ff0000 |
|
VISUAL
dHash
|
09d3e3c3d33bb231 |
|
VISUAL
wHash
|
ffff3b0301ff0000 |
|
VISUAL
colorHash
|
1b000038000 |
|
VISUAL
cropResistant
|
48482863431c1857,59803a6b6a4318a0,d3d3e3e363d3d35b,0c3210b232311529 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.