Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD53D778F110609E5333D7C7B9E2DF9DE2A3718CCA22E5A8DDA5616E16D0DF10C21DA2 |
|
CONTENT
ssdeep
|
768:1LQ3T34bPunGk9GzNRUFKUYbp19ngEUAmBBoH6vJLUzH7h9LAtuhw5D10XQIzIhh:m3T34bP4Q1ZgbITfaAQl/6lDNW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc16c7573044c737 |
|
VISUAL
aHash
|
feff9fc383fbdffb |
|
VISUAL
dHash
|
4c3222af1b423683 |
|
VISUAL
wHash
|
26df93c18181c3fb |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
4c3222af1b423683 |
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 652 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 4 other scans for this domain