Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6F35125E269B1FFE10302F4EAF37753E259898BCF479211E2A082331AB6D955D3B474 |
|
CONTENT
ssdeep
|
1536:YmwmCH9iJvdNMtrv00+rxbbSqLljCaNgtthUcGsuP:YNEbNMtjBiCqxjJNgtHEsuP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e33c3c38907bc3 |
|
VISUAL
aHash
|
02707060601e7e00 |
|
VISUAL
dHash
|
94c2c8c4d3b4d011 |
|
VISUAL
wHash
|
7e707c74607e7e00 |
|
VISUAL
colorHash
|
31000000180 |
|
VISUAL
cropResistant
|
94c2c8c4d3b4d011 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.