Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB02779CD2699823952181D0ECAA6BEF31408F4AD7532B2457BCC137BEC9D9FDC162B4 |
|
CONTENT
ssdeep
|
192:SZof+tJUaFtlyJ+x/2XH7OktR4ydXOunjQtVRyu5mj0X:EoCiMUJ+lyJRpgPt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83c73c33748c73ac |
|
VISUAL
aHash
|
2c7c7c7c64651b00 |
|
VISUAL
dHash
|
c9c9e9e1cdc9b34b |
|
VISUAL
wHash
|
7e7c7c7c64650f00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
c9c9e9e9c9c9cbb3,0451aec4c4ca0100,88d891a19966b436,c61959794918030b |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)