Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B093E8E592B075F94117AFD8DB32BEAA755B30BFFFA28784837847A16683D94D448C00 |
|
CONTENT
ssdeep
|
1536:WXfbX0KQlQLfUUoClQLfUUQlQLfUUzJ4CFf5l+ckyFm+9ftidZ5m9b:WQIBIQIpF3M0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d5d455d455d55454 |
|
VISUAL
aHash
|
7ec1800000000000 |
|
VISUAL
dHash
|
e003000000000000 |
|
VISUAL
wHash
|
7efcf8f0f0e0c0c0 |
|
VISUAL
colorHash
|
07000200180 |
|
VISUAL
cropResistant
|
e003000000000000 |
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 1759 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.