Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1511253749195A83751A7D3E6A776A77B72E08384CB5302298BFC87AC0FD6F80EC07516 |
|
CONTENT
ssdeep
|
192:qZz7khmIIwDgYTsiAWB44mGlb2yB4Nmfye:qZ3xII4gYTsixB44Jt2yce |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99764ea3c55239a5 |
|
VISUAL
aHash
|
0180807cff091838 |
|
VISUAL
dHash
|
b30c13d8c23bf0f0 |
|
VISUAL
wHash
|
598080feff1d1c3c |
|
VISUAL
colorHash
|
38030400000 |
|
VISUAL
cropResistant
|
b30c13d8c23bf0f0 |
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 21 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.