Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5112020506A0C66944391F08A946A0039D6C357CEA71D0417FD9BFE36EADA9DE56388 |
|
CONTENT
ssdeep
|
24:k2CadVG7z377QICEbqeLczkYNEN9utmcrxPoYxVyxFHS1sAlLbNp:+7cI7qTzvaH41NPbEFy1sC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99cc666699999867 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
164cb2b2b2b20c10 |
|
VISUAL
wHash
|
c0c0d8d8d8f8f0f0 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
8e8c8e8ebab2b2c8,164cb2b2b2b20c10 |
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 4831 techniques to evade detection by security scanners and make reverse engineering more difficult.