Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17123C73281148DF7241BA3D8FF385B177285954CEF0B07C5EAFAC32866DAC669C72252 |
|
CONTENT
ssdeep
|
768:fxxFnFQfXDKHXauMu2S570bgZX+D0IgtswQe40OgXli0fggGK101ghI2zOWjBOb:fJFQfXDKHXZMu2S570bgZX+D0IgtswQ7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef843e924d6b9132 |
|
VISUAL
aHash
|
fffffff1ffff8181 |
|
VISUAL
dHash
|
69353363631b3323 |
|
VISUAL
wHash
|
bf9f8fb1b9818180 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
69353363631b3323,000824b2b2321000,010103d0e84d0101,0069a15254aa622a |
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)