Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7D29632E110273F5293C2CAF751B71AA3E2C289EB5A054543F9836D0FEBE54DE27625 |
|
CONTENT
ssdeep
|
768:F/y5NhP41LIuR89FD+7sOy2+y9BH4crIe:KOb7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c723843ab969bcc6 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
dce84e4a4848c500 |
|
VISUAL
wHash
|
007f30a0bc00ffff |
|
VISUAL
colorHash
|
31030000200 |
|
VISUAL
cropResistant
|
0080803030808000,5cc8ec4a484808e6 |
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.