Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143D3A4D55618038CA157CA7CFF2FFE05131FB1AABA5586802A4EC26896CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:53/A0RQ7Hc7Of8JahWJhdBwg8UVMqlFsR8MLqcvXFsR8MLqcMK0:9/A0RQ7HaFaQHwgzVMbGE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc4c41b93932a |
|
VISUAL
aHash
|
ff81818181ffffff |
|
VISUAL
dHash
|
2b2b3b3b2b070c1e |
|
VISUAL
wHash
|
8181818181ffefef |
|
VISUAL
colorHash
|
17003400040 |
|
VISUAL
cropResistant
|
2b2b3b3b2b070c1e,9c9cccdaf1f8da5a,b6a6c8d8d8d8dc3c |
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 142 techniques to evade detection by security scanners and make reverse engineering more difficult.