Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C313957164682933431B46DBF0B7AF1AB1D3C74CCA431891AAFC53ED4BDAC72EA46446 |
|
CONTENT
ssdeep
|
384:rjX5LthI6lNrBuPWifaZMWEiNu7lnEF1/1g85cgX3JUhnTSMNo4QJPGN4UJNFN4v:rjX55hyWeAuyF9yi3X+hn6QPyzAdE9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c8d6ae283acb57a |
|
VISUAL
aHash
|
5b181a3b0ce2181c |
|
VISUAL
dHash
|
b3f332f2b88e3370 |
|
VISUAL
wHash
|
df191e7b0ce2183c |
|
VISUAL
colorHash
|
39401008040 |
|
VISUAL
cropResistant
|
b3f332f2b88e3370 |
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 191 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 5 other scans for this domain