Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1031232F1D050ED370757C1D5B7B67B2F76A2C344CB020A5853F893AA5BCACA1CB22999 |
|
CONTENT
ssdeep
|
96:Tk3KzDxLSTBJ8v67GylA7wAbRSS8ctNTwvFZQe5XWHFRKekO7XRIX/JkoznSyShz:Q3KzDx2D8io7T/byAdgXCUnqDs8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96966969e9e069e8 |
|
VISUAL
aHash
|
c00606060600c080 |
|
VISUAL
dHash
|
9cececececf39022 |
|
VISUAL
wHash
|
fc3e3e3e3e18c0c0 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
1a18b83a32f66465,e0cc80b6baa2b0f0,3232b2b232b2adad,9cececececf39022 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.