Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17873F89A6894301A473740E394BB2B99F7791C3FF52805D1B4B8C7E172E88F5316AB4B |
|
CONTENT
ssdeep
|
768:ByWu1nUWuPyojwqtM51vBzMRW/9MXcNwGzLjsQ6Z/uK8n+/L5Cb127p4qHcozDih:UwcDbQhyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e3ac3c2caca5a4b |
|
VISUAL
aHash
|
fd8f8f9fbf97fffb |
|
VISUAL
dHash
|
411a39302435c4c2 |
|
VISUAL
wHash
|
3c0c83831f157678 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
411a39302435c4c2 |
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 476 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)