Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA43C9B7832C117E1A6343E446042B2FB156418EEE4A52E5F2ADC3A423FDF9178B17C6 |
|
CONTENT
ssdeep
|
1536:VqkVjep4RVG1NDtcN4ZEdJ1i3404v4Q4q4S3bir:lVCpxgg6bir |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d92936d32286c |
|
VISUAL
aHash
|
81f3d3d3d3fbdfdb |
|
VISUAL
dHash
|
2b96969696b63b33 |
|
VISUAL
wHash
|
81d3d3c3c3f38383 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
2b96969696b63b33,2b368ebb7bc46429 |
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 932 techniques to evade detection by security scanners and make reverse engineering more difficult.