Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194E113E0C414EC3B5353C6D9B7B56B1B77A5C345CB020E4453F893AB5BCACA0CA629A9 |
|
CONTENT
ssdeep
|
96:TkY9Y7QzH0XfeGd3OSDU2GLFhuXVHFxqXwCY+/JQVOSZHQXR:QYK7QzH0X1dNfGm3Chu9HQB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3b31c8c4eb29919 |
|
VISUAL
aHash
|
ffffe7e7ffff0000 |
|
VISUAL
dHash
|
080c0c0c00000000 |
|
VISUAL
wHash
|
e7c3c3c3dbff0000 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
080c0c0c00000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)