Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6736732E3971813907FD2C9B061475922528B49C7134FB567FD23BAFACDCB62623298 |
|
CONTENT
ssdeep
|
1536:qYiOg1cYeeee0eeca/IeyeteyeQeyefeQH7Zeereyeqe8eie/zWmCQQHKJO1oF4f:ibGixxrJ9tJKJDJaJVJnFdAmTnmkVjme |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c14e3e31cdd39631 |
|
VISUAL
aHash
|
40107e7a68686868 |
|
VISUAL
dHash
|
aaa6f4d0d2dadad2 |
|
VISUAL
wHash
|
70707e7a68ea6a68 |
|
VISUAL
colorHash
|
02000030000 |
|
VISUAL
cropResistant
|
aaa6f4d0d2dadad2,3164c430e7f26465,588aacadac5a18a8,0834b6a776627233,232d6d65a91b2989,19041b595a2e1d1d,9181e9c131819195,4dac000a074dad4d,d7693248cccc446c,91a1c18171099195,385879388112e5ec,4d4c800a064dad4d,97c46931f1e1a0ac,d0f486c6b2a2a2a2,4dae000c0a060d2d |
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.
Pages with identical visual appearance (based on perceptual hash)