Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E963C730A844AA3742A345C29E64EF5DB3C6A385CF124F4175F8567AABD7FF19C031A8 |
|
CONTENT
ssdeep
|
1536:uay3beoOGhjCVHsafaC4Qba5Q5drUaqEyfORSmZFOD+rQ9AaEBTS:uay3bW4Qba5Q3rXqEyfORSmy9AaEBTS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73c38c373c6c730 |
|
VISUAL
aHash
|
00003c3c3c3c3c00 |
|
VISUAL
dHash
|
613165694969e097 |
|
VISUAL
wHash
|
00387efe7e7e3c00 |
|
VISUAL
colorHash
|
31010008200 |
|
VISUAL
cropResistant
|
6bc3969a998c949a,613165694969e097 |
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 305 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)