Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144843BE053A02ABA41DB87E4B6317357E29F5279E923D98CF39C87956BDBC1CCE10190 |
|
CONTENT
ssdeep
|
3072:Rs23Lwg1seQ7zZtXZeiHPCuuUZRs+5wL4ZujVgub5tIZwr7LfqLLaZtmZeiHPCui:Ag1seCUAlFFJJFNVzPfVpZpsnz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0169716f450f49f |
|
VISUAL
aHash
|
240000400000ffff |
|
VISUAL
dHash
|
ec4986845a00c40b |
|
VISUAL
wHash
|
ff00f0f00000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
08000c0a10031333,ec4c4184986a00c6 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.