Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B12D0F2E051D93A076381C1B6727BAF77E1C249CF421A6013F853EA6BCAD90D9164DD |
|
CONTENT
ssdeep
|
192:cgq9zYhhDU/A8iI4XtXAZu9ZNzZ0ZNJOWM2B8U8F:qGDU417XaZ4ZdZ0ZqW/N8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b078c7c72578137a |
|
VISUAL
aHash
|
ffffc3c3c3ffff7f |
|
VISUAL
dHash
|
0c1a9e9696400ed6 |
|
VISUAL
wHash
|
80c3c3c3c3ffc703 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
0c1a9e9696400ed6,3faddcffbfefcfff,d39b13b133333323 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)