Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA54CD234259392A0437C2E520A95B3BD1EAED4BFAE709414EDCD7F727FAC90741B258 |
|
CONTENT
ssdeep
|
1536:c/Mszkcsvm9tMbXlOJi55R+Ovb0gkpQ01LRLh4H8ArXvUd0gAK6Fyg0+jm2BKza/:lmMw9gBeRLhy9kN+jmOKOGI1jt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d496f8 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
cccbccd0cccc238c |
|
VISUAL
wHash
|
00003c7e7effb1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc236286,84cbe9cbc0c8dcd4,4561417971690141,00454d7171414541 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)