Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F23C9AEC27CDA3BD7EF8788FF64F6556027509CCE8B81A5E5C81E4EB0A58C16D085C4 |
|
CONTENT
ssdeep
|
384:9aTuTFIj49pNJBEHX9+VPmaGoChtHaNGmvpUXA:9ayRIs9pNJBEHN+VhGoKtANpUw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e07b4941af8d92cb |
|
VISUAL
aHash
|
e0c0fde7e66662d3 |
|
VISUAL
dHash
|
910d8d0ecccc86b6 |
|
VISUAL
wHash
|
c0c0fdc3666672d3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
910d8d0ecccc86b6 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.