Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15713D731A2002A3F5257C3C9F366B72AA2F3828DDB46051542FD437D4BE6E89ED33569 |
|
CONTENT
ssdeep
|
768:LOy5NIS5mH1gCleFtiwvg3DbzWCZMe7sOy2+y9BH4c1Ie:j5MgCleFtiegTbfMe7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76db03ac503cd9a |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c064242c148f900 |
|
VISUAL
wHash
|
00c7f2f03000ffff |
|
VISUAL
colorHash
|
31000000380 |
|
VISUAL
cropResistant
|
dc00880170b08000,1c0e464242e142d8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.