Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DA274709510ED332192D2F9673ADB0FB392D14ADA634B46E3F2935F5BDAD52CC22248 |
|
CONTENT
ssdeep
|
192:jLK0+JPJvjZDS+aymZV8qymZknvZymZFYpymZkHgjymZYH0TymZK3uymZ5EhymZs:q0EjghTMFKqRC0XbRUy10Yss6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e162cbd9884d6b99 |
|
VISUAL
aHash
|
f9e7e7e3cbc3e3e7 |
|
VISUAL
dHash
|
1b4c4d061616162a |
|
VISUAL
wHash
|
00e7e7c3c3c3c3c3 |
|
VISUAL
colorHash
|
070000081c0 |
|
VISUAL
cropResistant
|
1b4c4d061616162a |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.