Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1104349736362787D83CB91DDB7392E45B2C6A48DE9870490B6D86ADD23C3C8271877B4 |
|
CONTENT
ssdeep
|
1536:ay+EsZ/8eeLxO7DTEe+wLMLBTwFMLBJUXx+y9dQyDF1ZAU84HaXwJwM:anNGwcwEUXxpDzHyoN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b65b1c692e8b8ca |
|
VISUAL
aHash
|
ff00003c3c3c3c3c |
|
VISUAL
dHash
|
8a863b6169696969 |
|
VISUAL
wHash
|
ff021c3c3c3c3c3c |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
080c1000c0c00040,a04565604db06d4d,8669716969696969 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.