Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199E27334815095274B1758E5F570AF2E78EB830DCE13090A53FC9AD9AFE2CC5CD295AE |
|
CONTENT
ssdeep
|
384:b/+Ym+IiAxll3aOnOxCIh83a5bfC/BgA6/EjgB92z2b/3aBG+g55WpbhOUMWdo+:brHBYngDC/iA6c6uG+ThOLWd3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecc43b92c33b9349 |
|
VISUAL
aHash
|
ff9bd3f3f3838181 |
|
VISUAL
dHash
|
4b27232363273b2b |
|
VISUAL
wHash
|
ff9391f1f1838181 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4b27232363273b2b,7cbc9c7c64ecaea6,7c7f435cd0d3cdc9 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.