Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142C461B0E120311E9677C38B75B2DB9ED273F58CCB33A658EE94A02F2AD5C650D529C4 |
|
CONTENT
ssdeep
|
1536:s3cfzjhRC1ZgN/TARKzwwah7FTxt7nGw7lMpC+o/fNwZKTApu17/u1rQu1j+u1de:iQjhJsVr5d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b96771d584959455 |
|
VISUAL
aHash
|
ba81c3dfdbcfcfcf |
|
VISUAL
dHash
|
422b2b2332161696 |
|
VISUAL
wHash
|
2281819f9bcbcbcb |
|
VISUAL
colorHash
|
07000180003 |
|
VISUAL
cropResistant
|
422b2b2332161696 |
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 684 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 2 other scans for this domain