Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B532B993844701A476340E3A0BB2A8EF7391C2FB90C55E164B4CBE5B2B84F5616BF4F |
|
CONTENT
ssdeep
|
768:PyWu/Pu5/uWyCSfNw8n+Ds11sZLZLFGQ1cPZ6/C9W5XzqzAX8U898xNhuDwq7WmY:X/2PuOyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b030388bcfcfcc66 |
|
VISUAL
aHash
|
c3c3c3ffe7ffc7e7 |
|
VISUAL
dHash
|
9e9e9e0e0e161e16 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
9e9e9e0e0e161e16,fc73fdfdd7dbbf9c |
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 700 techniques to evade detection by security scanners and make reverse engineering more difficult.