Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3B11F738014C42E1EABD64DE7C1F28D52A6E25AFA3098C3A0D9505F6EC4EF6D4D132D |
|
CONTENT
ssdeep
|
96:+mgXVXXC9oR7t0vR1sU+OfMmORR1E8VContuVnpCal:rS9BJwN1fMmUU8VCo+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2728d3db04dc7c2 |
|
VISUAL
aHash
|
000020000400ffff |
|
VISUAL
dHash
|
3084cc8c8c0c7300 |
|
VISUAL
wHash
|
3c0464466604ffff |
|
VISUAL
colorHash
|
31201218000 |
|
VISUAL
cropResistant
|
0000000000000000,a084cccc8c8c7c70 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.