Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5922F1BB088C52A0D8740FDDA88F656268DC245F730CA976AF5823FEB55EEC356139C |
|
CONTENT
ssdeep
|
384:wYuFI6n7vABq2WxvZXFdfMmUFCo1h4ts3W40:wnI6n7Sq2OxVdfBUsPp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc656531342cdc6b |
|
VISUAL
aHash
|
c3c3c39fcfcfcfdf |
|
VISUAL
dHash
|
1717333e3f3b3f3c |
|
VISUAL
wHash
|
c383838f83878f8f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
1717333e3f3b3f3c |
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.