Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BD266727420CC2261CF6AD9F922631080F7A71ACB8757E5F464A3F616ADC7DEA33059 |
|
CONTENT
ssdeep
|
384:EGt01+fXXWZY0u1KpOHe5wjh4mr8hlbhknyFWJjUYznYZg:7t01IXXWWZemrO4pnkg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80acd82e2b3e6b2f |
|
VISUAL
aHash
|
497c660221b87e6c |
|
VISUAL
dHash
|
95f4cccecf62bcd8 |
|
VISUAL
wHash
|
4b7c662624f86e6c |
|
VISUAL
colorHash
|
31201008040 |
|
VISUAL
cropResistant
|
95f4cccecf62bcd8 |
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 194 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)