Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14893CC31A23B1826915FB2E4A2A44B192693CB8AC7438BF5627C52F67FCDC753D1318D |
|
CONTENT
ssdeep
|
1536:PDEzCM9MhMSqU0bqV+MFpnkeF0e49MAVes3XBkMDzSATMmVMLSMFy8HHd9eoP4aH:PDEzCMt6L1KRZDw/DcDmIhYDawfyQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36c309adb9a3365 |
|
VISUAL
aHash
|
3c20303c3c3c3c2c |
|
VISUAL
dHash
|
6944447160494948 |
|
VISUAL
wHash
|
3c303c3c3c3c3cbd |
|
VISUAL
colorHash
|
02000030000 |
|
VISUAL
cropResistant
|
6946407160494948,64696926b2d2d8dc,646969a6b2d2d8dc,64696926b6d6d8dc,666969a6b2d2d8dc,6169685d66464670,cecd490981917971,96ac9c9cc3c628c2,cbd7cfcf21e39561,0000686971966800,0004606969600200,4cce814a46667633 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.