Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AED2B331A100273F02A3C3C9B356B35E92D3924DDA8A192653FD876E1FE6F44ED23526 |
|
CONTENT
ssdeep
|
768:YSXy5N6RYZ3ROW1u04M9Rsa2dCok6mR7sOy2+y9BH4crIe:ZYZ3ROW1HReCokR7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
876bfd32d12d9482 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49e3c3cc4cb600 |
|
VISUAL
wHash
|
80f571300406ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
008080084c808000,1409c3e3c3cccc36 |
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)