Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185C2B831A0006A3B42D782C9B761A32FA2E3534AE747091592FD83AD4FF7DA4DE33556 |
|
CONTENT
ssdeep
|
384:YaSby5NPcmoDIZQG8Go89Mvlhjd1U5HkPHIYsOy2+y9BH4cCUIe:NSby5NPczjHOo7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926cfc32e93c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
8cccd4c8c88c3c00 |
|
VISUAL
wHash
|
00fee200600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,8cccc4c8c8d92c3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)