Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BD2A772A110373B52D3C3DAB751BB1BE6E28289DA5A050652FC835D0FE7D90DF2352A |
|
CONTENT
ssdeep
|
384:Rayy5NEctuKVm0SfZ37Kt/YxUnq4p6ywUO80F7lK4H13IYsOy2+y9BH4cCUIe:R/y5NEXFnmDhG5HN7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7038438bc3cf1f3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
5cc8c8624848e500 |
|
VISUAL
wHash
|
007f6420a424ffff |
|
VISUAL
colorHash
|
31030000200 |
|
VISUAL
cropResistant
|
0080803030808000,5cecc84c4a4848e4 |
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.