Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182E16371E5487833371352D9B745366BB3E3425ACF420E0456F6860E9FD5CB6C80A2BD |
|
CONTENT
ssdeep
|
192:Plc7xjnSVnXLBR8BHZ8uhrKFaFCFc/dFCruDG7iIo:NuxjSxBREfhrI4wQrCyDGWIo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3668c841174f4b |
|
VISUAL
aHash
|
00830307fbfbfbfb |
|
VISUAL
dHash
|
26266e6c93733313 |
|
VISUAL
wHash
|
00830307f1fbf9f9 |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
14d5cd8d15b5dcd8,36266e2f93731313,c1363626266e6e6c,2354549434b5b1a5,33565a5e96d6e686 |
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 1945 techniques to evade detection by security scanners and make reverse engineering more difficult.