Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13FC2C82340C8193F279647DAE2283F3FA3E5411CDB0B1BC6A6DBC37D968298561B3984 |
|
CONTENT
ssdeep
|
768:SeUEiyB4dM9EuWMTHfnixkSuiEdf+jCiV:JUEioso2DuuCiV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6679c9c2666989c |
|
VISUAL
aHash
|
9fe7c7e7c7cfffff |
|
VISUAL
dHash
|
2b0f0f4d0f3b2e30 |
|
VISUAL
wHash
|
99e781e78381878f |
|
VISUAL
colorHash
|
07000010600 |
|
VISUAL
cropResistant
|
2b0f0f4d0f3b2e30,59791b350832f1a2 |
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 627 techniques to evade detection by security scanners and make reverse engineering more difficult.