Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147332BB1A29215A612834BE4F2B1F7A4E151D37AC6238CC9F3FC42967BCBC9D85813D5 |
|
CONTENT
ssdeep
|
768:n+Zc1n2cTtOmv4mF4mM4m+C+ifSnLqwrN0YtsuLP/0GPhUxBKuZn55oTZgeI8ld+:n+i7TtOVfO8yRd/LhQKCzW9W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6b69d2d23c8c862 |
|
VISUAL
aHash
|
9fcffee060000083 |
|
VISUAL
dHash
|
761c0ccdcc14310f |
|
VISUAL
wHash
|
9ffffee0600000e7 |
|
VISUAL
colorHash
|
070c0006000 |
|
VISUAL
cropResistant
|
761c0ccdcc14310f,96169690944b1313 |
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 752 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.