Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E44281B0C0699F37A093D1E9B2F6872F35C08742DA8B174057FA83A95AC7DF0EE16185 |
|
CONTENT
ssdeep
|
192:C4k4bA/xNhokHJONIpgeS1k1rvGu2J0Qw39GXkhsCWpBMQRh50h53hgZUn:TuxNFJ8ogeSUrp6J69uisT7MqATg6n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9974669933668c9b |
|
VISUAL
aHash
|
001818181c181800 |
|
VISUAL
dHash
|
163030b2b2b23321 |
|
VISUAL
wHash
|
c0bc3c3c3c3c3d1d |
|
VISUAL
colorHash
|
38000010180 |
|
VISUAL
cropResistant
|
ffffff9f9fdfffff,9ea4e6eea3232661,163030b2b2b23321 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.