Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F473933D9185627E5C2787F8F5617B7824E7C2ADC557A02CA3FD13A1B3D2CC498221E9 |
|
CONTENT
ssdeep
|
768:uVEvLIIjHcJFbYl8+JMrMoMi4gZStCM6r1WngHacXJvW:0+LIIkFbU8+JQxAgZSY7JW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8108ab6beaeb48eb |
|
VISUAL
aHash
|
bf0000000000ffff |
|
VISUAL
dHash
|
7bfcf0e080004d4c |
|
VISUAL
wHash
|
ff0e1c300000ffff |
|
VISUAL
colorHash
|
070000081c0 |
|
VISUAL
cropResistant
|
6bfef8f0f0e08080,00215c5c4c0c9056,fffffffffffefae0,f0f0f0e0c0808000 |
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 3962 techniques to evade detection by security scanners and make reverse engineering more difficult.