Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11842FB946F9CB3F4710197F4A4A5BEA97A160DEBAF21C46CE7E02E84C6D197D8C808C5 |
|
CONTENT
ssdeep
|
192:2YTorMqee+MV264p/pEk3xmGSzj6cDsSrm+87Qs8p:2qsMq3J4fEkkG7crm+LsE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cece999931c66619 |
|
VISUAL
aHash
|
3830303000000000 |
|
VISUAL
dHash
|
3024242c10000004 |
|
VISUAL
wHash
|
3c3030300f0f3b03 |
|
VISUAL
colorHash
|
38001030001 |
|
VISUAL
cropResistant
|
3024242c10000004 |
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 394868 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.