Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA234B72A322B86843CB91DEF7392D46B2D6589DF8C74414F5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aI+EsZx8/G8x4FDatZMRBzt6MRBpUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtAf:aI+EsZ/8iFDatZMRBzt6MRBpUXx+y9dD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebb490c5c5d1d1b4 |
|
VISUAL
aHash
|
bd81818181818181 |
|
VISUAL
dHash
|
7171514145494551 |
|
VISUAL
wHash
|
ff8981a18181bdbd |
|
VISUAL
colorHash
|
31000000038 |
|
VISUAL
cropResistant
|
7171514145494551,323380c4c0d4d4d4 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.