Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173A3D6F592B075F94157AFD8DB32BEAE355B30BFBFA28B84827847916683D94D448C00 |
|
CONTENT
ssdeep
|
1536:zXfbX0KElQLfUU5V5l6lQLfUUQlQLfUUzJ4CFf5lCc+yFm+9fBidh5jQb:HEIr6IQIpF3Sm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8694bd7c430c6d6 |
|
VISUAL
aHash
|
1889d7c397ff8fff |
|
VISUAL
dHash
|
b23bacb62c20bac8 |
|
VISUAL
wHash
|
3c00524287bf8bff |
|
VISUAL
colorHash
|
070002000c8 |
|
VISUAL
cropResistant
|
b23bacb62c20bac8 |
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 1077 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.
Pages with identical visual appearance (based on perceptual hash)
Found 10 other scans for this domain