Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE933B643558F57619F343A310EF5103B339622B980E4C60B355FCAE72ACC9AA167FDA |
|
CONTENT
ssdeep
|
1536:xWu+10JLlgp0XMEv8eUxhMKWC4YJDpzFdn2soXQCaVyeqNYE:Q6JqM8eYaK94UDjXChNl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0c0383f373d3739 |
|
VISUAL
aHash
|
7070707070700000 |
|
VISUAL
dHash
|
a4a4e4c4c4c032d4 |
|
VISUAL
wHash
|
707e7e7e70701862 |
|
VISUAL
colorHash
|
39007000040 |
|
VISUAL
cropResistant
|
8eae86a63148d898,a4a4e4c4c4c032d4,df998cc726370b49 |
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 852 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)