Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A51384A2E414953B16A38BD5A3E2BB4AF740848AC9D2404FD1F5D34D2FE2DB2ED1B315 |
|
CONTENT
ssdeep
|
768:SJEZt7cgI/MZGCZZZ1ZdRZscZ7ZoZzZPI5aBDxZlZb9iv9S909/i9yL9p9m9t9QS:Pk4J53SijFE0i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e1269e167189ee6 |
|
VISUAL
aHash
|
00001c1ef7ffffff |
|
VISUAL
dHash
|
137c782c2e302430 |
|
VISUAL
wHash
|
00001c1ce3fffafe |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
137c782c2e302430 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.