Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102A11C225084ED23D58B90E9D5E5E32F2086D306DB474B0092FC53ED6AD9EE4CE94AE8 |
|
CONTENT
ssdeep
|
48:lgvqdZRehdDReT+kAvZRe8ktReETRoMB3fCP9XLQHX2r05HFLJOdVZT3S:Eqdqh+d8/ENvCPJQ40n+S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3094c4ce6e6a6b3 |
|
VISUAL
aHash
|
0000e7e7e7e7e7e7 |
|
VISUAL
dHash
|
0c180c4d4d4d4d4d |
|
VISUAL
wHash
|
0000c3e7c3e7e7e7 |
|
VISUAL
colorHash
|
07000030080 |
|
VISUAL
cropResistant
|
0c180c4d4d4d4d4d,418024b2b2300851,01000432b2320c10,01000432b2320c10,01000432b2320c10 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
JavaScript intercepts form submissions before they reach the fake backend. This allows real-time credential harvesting and validation without server round-trips.
Pages with identical visual appearance (based on perceptual hash)