Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7C3D023415979274437C2C170699B7BE1E6CE5BFA920A014FEC87FA5BF9C60B41B22D |
|
CONTENT
ssdeep
|
1536:FtUgQmTa3MZo+Hd1+6jX/IW7cjqcFy5o0G50UF:FtOQRX/I9V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0c9857fb4d0c9aa |
|
VISUAL
aHash
|
fe7d7f4681800606 |
|
VISUAL
dHash
|
f0e1f19c0d2e0c0e |
|
VISUAL
wHash
|
ff7d7d5e81800606 |
|
VISUAL
colorHash
|
30006000080 |
|
VISUAL
cropResistant
|
8205289696280482,f0e1f19c0d2e0c0e |
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 81 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)