Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7C3F8E582A035F942176FD4DB327EAB755B34BFFFA38A84437847A16687CA4E844C40 |
|
CONTENT
ssdeep
|
1536:HXfbX0K2lQLfUU2bq/lQLfUUQlQLfUUzJ4CF5RdyFm+9ftidZ5m9b:72IP/IQIpFt0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d7ab55a3548cd446 |
|
VISUAL
aHash
|
feefffffe7e7fcfc |
|
VISUAL
dHash
|
d85900104c4c3004 |
|
VISUAL
wHash
|
7eece0e0e0f8f0e0 |
|
VISUAL
colorHash
|
070004000c0 |
|
VISUAL
cropResistant
|
d85900104c4c3004 |
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 1651 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