Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA6242B23358D5F77193C2F36311F778A656E28AF86FE6C4A3E5812B6782D518871220 |
|
CONTENT
ssdeep
|
96:l7lGHAGMeypjWdxnKrgd816PRz9hvlS1h/ZzHJSJVbV2Lfb1ruCb7c6wMSO9c1WC:Q6kq63JoPRgGb8entq1R38Zpvc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e7d3c96c92649899 |
|
VISUAL
aHash
|
e7e7e7e7e7c3c3ff |
|
VISUAL
dHash
|
2b0a0e4d4d16161c |
|
VISUAL
wHash
|
00e1e1e7e7c3c3c3 |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
2b0a0e4d4d16161c |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)