Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D30241E1D0649C360B5291C9BBF5BB6B77B2C384CF020A4453F4537A6BCFDA187214AA |
|
CONTENT
ssdeep
|
96:Tk3K9tzH0LdjlSTyKiE/awvFAehXgHF2XmbWXDX/YtSTu1mlGAT43a:Q3OtzH0La7iE3GaXR61A8K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b138c4fc133ec1f1 |
|
VISUAL
aHash
|
0f0f0f0f0fffff7f |
|
VISUAL
dHash
|
1e5e9e3a1ad838d8 |
|
VISUAL
wHash
|
0f0b070f0f0f0f3f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
1e5e9e3a1ad838d8,1111114111111111,d46879b2d6ccccd4,c4c4c4ccd4687117 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.