Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEE114F19454A93352A3D7DEBAF1571AF6C1C6CBC5830A86C2E4C39D1FC6DA2ED42214 |
|
CONTENT
ssdeep
|
96:0kS6MRhbn7Pz5CvjdhtZB1d0ZhvLih4zJk0eQKvVvu+0BvlPJc64G5VLmhJDv4v2:IwHtZD4zJk0e1V2+AYA+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cece753164646571 |
|
VISUAL
aHash
|
c3bd3c3c00000000 |
|
VISUAL
dHash
|
8661616196600000 |
|
VISUAL
wHash
|
f7ffffff01000000 |
|
VISUAL
colorHash
|
01000080006 |
|
VISUAL
cropResistant
|
8686616961616161,4145659191916145,6161966014000000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.