Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB7274729218AA3B1263D3DDE772A34AFB518685CCD6004BD0F6E35C1FE2E71ED16212 |
|
CONTENT
ssdeep
|
192:iB8ZAJnFbONn/2wtZ8srkJVB4xpC5cTBrB3:iUAJFCNnvZ8srkLB6pcIBN3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe7e69a1a19c1ca0 |
|
VISUAL
aHash
|
8080849effffffff |
|
VISUAL
dHash
|
303834242c242424 |
|
VISUAL
wHash
|
8080809caebefefe |
|
VISUAL
colorHash
|
07c00000080 |
|
VISUAL
cropResistant
|
303834242c242424 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)