Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D21E11240685D2F5102D1DD73D0B1A238C2C58BDDA6150246FDC79EA2FBD51EF1DA8B |
|
CONTENT
ssdeep
|
24:n/orgXZcAxWUhMHxD19FvNbufPItEiMzwN9uENuSG0/c+fHoKwqHB+:ngYceWU6F19dNbuXqRTHx1Hwqh+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce9366b0b4594967 |
|
VISUAL
aHash
|
027439b9f3f8f0f0 |
|
VISUAL
dHash
|
ace46333c7a1a567 |
|
VISUAL
wHash
|
0074f81df3f8f0f0 |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
ace46333c7a1a567,feee6f7f6d99181e,43f3f30524a424a7,9303c3c1f9bbb377 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)