Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16582C834A1409CF642B382D9A7341F1F72A7D74DEE03039693F5C7692EA2DE1ED22499 |
|
CONTENT
ssdeep
|
384:VyPyGyyy0KRsh7zTDofwOIOQ5Otz3OuWOQOM1O5OfOwfOkMOLp3a3aOYOrO8COs:VyPyGyyyrRshnTMfwOIOQ5Otz3OpOQOg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
984ca6b36512e767 |
|
VISUAL
aHash
|
1818181838ffffff |
|
VISUAL
dHash
|
3030b230f0696906 |
|
VISUAL
wHash
|
0018181818ffffff |
|
VISUAL
colorHash
|
380060000c0 |
|
VISUAL
cropResistant
|
3030b230f0696906 |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)