Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D535A73A715797D83C782EDFB386E92B3C0945CE5824064B99896ED13C2CC2729B7B4 |
|
CONTENT
ssdeep
|
1536:as+EsZ/8KeQzcis1fOrDTEe+tgM7B8tiM7BQwZUXx+y9dQyDF1ZAU84HaXwe:atlciK2WtitoUUXxpDzHyl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf2d47673130c8f0 |
|
VISUAL
aHash
|
83a39f878fbf8f8f |
|
VISUAL
dHash
|
6363333f5e6f7b7b |
|
VISUAL
wHash
|
83839f83878f8f83 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
6363333f5e6f7b7b |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.