Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5A151B3B44C491F2750C7A15DE2F62A5BA2C14DCB691C86F4C887DEAAC4FF1E063125 |
|
CONTENT
ssdeep
|
96:60G+vc1GovL2goYeo9TuUoW5Z3VyU4MNObFVq7qIZmJqzdeqrqeqi:60DJaigoYeoJuLK3VyU4MNObFV4LZmJ2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d988663373669966 |
|
VISUAL
aHash
|
0018181818180000 |
|
VISUAL
dHash
|
1032323232323200 |
|
VISUAL
wHash
|
34189bfe3e181ab6 |
|
VISUAL
colorHash
|
38200038000 |
|
VISUAL
cropResistant
|
1032323232323200 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.