Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1A398B29251683760BBA2D9F134671EA3D3C34BC78247D1A2F8A35B1ED6CA1FC13459 |
|
CONTENT
ssdeep
|
1536:4m3XWnzvrgNLlm2Xm28CnE+ML6wFUtJn1IdmMiEcEOS:T3XWzEN+bUtJn1IdmM5cEOS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4926763719c3c6c |
|
VISUAL
aHash
|
66e7d3ffc3c3e3c3 |
|
VISUAL
dHash
|
8cc936349a12260e |
|
VISUAL
wHash
|
2264c3dfc3c3c3c3 |
|
VISUAL
colorHash
|
07001008280 |
|
VISUAL
cropResistant
|
8cc936349a12260e |
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 106 techniques to evade detection by security scanners and make reverse engineering more difficult.