Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0D172615118983B1207A1C0FEA76B5E70D1C34ED6434DE1B3F483AD97CBEE1CD6A169 |
|
CONTENT
ssdeep
|
96:Z0ugLC7iO0NOSBHmOCafDZJnJ5UW3zizTAC9ri8iOzUfUfNftJCBoxW95OpcGFMO:jgL373UEL3J5JDI/+8ikuuBUqW+GVO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d887722dd88df62 |
|
VISUAL
aHash
|
1818181818000080 |
|
VISUAL
dHash
|
f1d5b3335555f164 |
|
VISUAL
wHash
|
1d1d3d3fff1b0080 |
|
VISUAL
colorHash
|
10000030002 |
|
VISUAL
cropResistant
|
78e09020000020a0,b08686a2c0c2c2a0,f1d5b3335555f164 |
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 379 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)