Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12042D63FF209A7290EA34305B5C497EEEB2BA09DB77125C6B09E806D67809E541727D8 |
|
CONTENT
ssdeep
|
384:/wNwywcY0Yy5wzt9j42KK+XruB3oZW7z/UufMmUFCo486:/wNwywcY0Yy5wJJ4BSBoZWsufBUsg6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0ce8bcf8bce9920 |
|
VISUAL
aHash
|
ffc3c3c3c3c3c3c3 |
|
VISUAL
dHash
|
0c0e0e0e0e0e0e0e |
|
VISUAL
wHash
|
3f030303c3c3c3c3 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0c0e0e0e0e0e0e0e |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.