Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C330AF93C95B5520B7290D3A0BF364BB33A242F781C55A0B160DEE571F84A9506BF8E |
|
CONTENT
ssdeep
|
768:QyWuP//u11WyLusLl5UCS/9ZD8n+zVaSxB5SvKMRWFSFoAX8UtHfi4A445g4g4jK:kxAb5TTBPbyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b161316464cedece |
|
VISUAL
aHash
|
c3c3fff7ffe7ffef |
|
VISUAL
dHash
|
969e0c050e1c061e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c7c2 |
|
VISUAL
colorHash
|
07401030000 |
|
VISUAL
cropResistant
|
969e0c050e1c061e,03f070919cecacec |
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 699 techniques to evade detection by security scanners and make reverse engineering more difficult.