Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172D2A474E3019D393517C7E913F09A2B3258F049AF6A0B98C7A2437665C3CE9C97AED4 |
|
CONTENT
ssdeep
|
768:FzSMIoMUeG0Cxem2Mp44EnoqDToLltn2e1cAHO:FIGeqe4/6oqDdean |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccce739399b39380 |
|
VISUAL
aHash
|
ff10181818180000 |
|
VISUAL
dHash
|
4937b2b2b2320c00 |
|
VISUAL
wHash
|
ff3838381c1c0000 |
|
VISUAL
colorHash
|
38006000040 |
|
VISUAL
cropResistant
|
4937b2b2b2320c00 |
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.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain