Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157B3C6F592A075F94217AFD8DB32AEAF755B34BFEFA38A84837847916683C94D444C00 |
|
CONTENT
ssdeep
|
1536:HXfbX0KElQLfUUiFwWsqtlQLfUUQlQLfUUzJ4CFKc+yFm+9fDi+A5mzlO:7EIXWHtIQIpFmJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8dd27682cd5bf025 |
|
VISUAL
aHash
|
fe0018181b180000 |
|
VISUAL
dHash
|
e04db232b2b24f32 |
|
VISUAL
wHash
|
ff0058fbfbdf0000 |
|
VISUAL
colorHash
|
02000e00000 |
|
VISUAL
cropResistant
|
aab28af0b2a28aaa,e04db232b2b24f32 |
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 1080 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 10 other scans for this domain