Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126B3F9F582A075E95117AFD8DB32BAAB315B34BFFFA38B84837847916687D94E404C04 |
|
CONTENT
ssdeep
|
1536:UXfbX0KvlQLfUUKQOlQLfUUNlQLfUUzR4CFycO1D9MLirWEPMx:wvIjOINIBFR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c3c90d7c54dc3c3 |
|
VISUAL
aHash
|
0e809091ffffffff |
|
VISUAL
dHash
|
98342323d4c0c0c0 |
|
VISUAL
wHash
|
0c000000fefeffff |
|
VISUAL
colorHash
|
070004000c8 |
|
VISUAL
cropResistant
|
98342323d4c0c0c0 |
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 1118 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 9 other scans for this domain