Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10953A472E2017A3B108343C19F6CE31AA3D5DA4CCBA25957EAEC831E72C7DE0DD26565 |
|
CONTENT
ssdeep
|
1536:Z8a0nXsNUIGVF26NQ68c6Qy6h/6Nuu6xm/r8YdTImc3iPo:qXsXGf26NQ68c6Qy6h/6NTBo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1ec2c3e9e89269 |
|
VISUAL
aHash
|
ff1e8e9b8bff9f8f |
|
VISUAL
dHash
|
493c3c33133a3532 |
|
VISUAL
wHash
|
fd0e0e01898f8f8f |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
493c3c33133a3532 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)