Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6538460448490B354134973A3A17B8ABB964E30D67B3C255964FEBA43CFFBD04EEE91 |
|
CONTENT
ssdeep
|
384:+tlwIkmVTDY/GtM1CNCiADtUstHPPh66k1JWW0QQQOWKWwQQQWW0QQYQRW0QQQQD:8DY+yCUKeGDDv7DDBR7D1ogqh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
adcac42b372a47a9 |
|
VISUAL
aHash
|
33fb7b0303030303 |
|
VISUAL
dHash
|
e7f3e31757d79796 |
|
VISUAL
wHash
|
7bffff0303030303 |
|
VISUAL
colorHash
|
0e403000000 |
|
VISUAL
cropResistant
|
b39ba5b89ca0a0b3,f8f8f0f8fcfcf9e9,f0f8f82dadeda989 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.