Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125B136717081BA3B07C393C2FA22B3BEB6C5C989CA53160552F9C5CD8BE9EC4CC12589 |
|
CONTENT
ssdeep
|
96:T5L4OtgKGbfYOEk5IDSy77cgexNSLUyahkle9Jyh:t4OkLYxgIDRH/LIb6UJyh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3edac3d3838383c |
|
VISUAL
aHash
|
a07c647c343c3c7c |
|
VISUAL
dHash
|
50c4c8c8c4d4c8d4 |
|
VISUAL
wHash
|
887c007c7c7c7c7c |
|
VISUAL
colorHash
|
381c0000000 |
|
VISUAL
cropResistant
|
50c4c8c8c4d4c8d4 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.