Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12224A430E220315E5363D38A75E2CF8DD273E948D727A26CEE90A12F53DDC650D62AD9 |
|
CONTENT
ssdeep
|
1536:j3T7diW1ZghITfReCsVlbCY5ZXCgKa8CltkFCcZ+pC3zigCQ9zqCCSS1CAfg1bCZ:bvdhQeQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6351051d0ce95df |
|
VISUAL
aHash
|
c603bfe3ede2b5ff |
|
VISUAL
dHash
|
acd7618509966d89 |
|
VISUAL
wHash
|
0601b2e5e5caa1ff |
|
VISUAL
colorHash
|
07208000002 |
|
VISUAL
cropResistant
|
acd7618509966d89 |
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 664 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
Found 7 other scans for this domain