Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120F2C732D056A83F06ABB2E1A7B8A35D62E543C9CD43072542FD874D5FEBCD0EE42895 |
|
CONTENT
ssdeep
|
384:mXAII0oIIIII9alB96e7ZIH+JTLjEIjdq7kWngsGaa1gJHlpW:4AII7IIIII3eaETLIyg7pQqFy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87e3791c1839e696 |
|
VISUAL
aHash
|
00e3e7ff3f3c1818 |
|
VISUAL
dHash
|
87cfcfdbe5e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c888c0c,0000606860440000,87cfcfdbe5e1f0f0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)