Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC83EE72A23B1826901FB1E4A2A447193683DB8AC7478BF6927C52F67BCDC753D1318D |
|
CONTENT
ssdeep
|
1536:bYDudsunf3AMOxb9y+M8EjOe6feCpey9M6GFVeEK3kMfzSATMJMgMiTiv6ie8/AY:bYDudsun1OUr63ZfwW98KpTwlvwIVmGQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36c339c929e6969 |
|
VISUAL
aHash
|
2c30203c7c7c7c6c |
|
VISUAL
dHash
|
d4d4c2d0c8d8c8c8 |
|
VISUAL
wHash
|
2830203c7e7e7e6e |
|
VISUAL
colorHash
|
02200030000 |
|
VISUAL
cropResistant
|
d4d4c2d0c8d8c8c8,eee5490981915971,0000486969969640,0024486868e80200,4cce81ca66667633,315e4e4c2c8c4c31 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.