Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8E20B31A904DD2641DF9AC9A272A72A21F98345C64306C9FAB5C7F90BDFC6DDE33104 |
|
CONTENT
ssdeep
|
768:3jqd7MKPHmmwrqK5TnXVY/s/a5Y0Y1XOsEx/jNZUf7x:3jqd7McHmmwrqK5TnC/s/a+f1esExZeF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf313171316c39dc |
|
VISUAL
aHash
|
003c3c3c3c3c3c3c |
|
VISUAL
dHash
|
6961616161616161 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
33007000000 |
|
VISUAL
cropResistant
|
21c9c9a1f1f18109,6961616161616161 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.