Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B74C630E210311E5763D38B71E2CF8ED233A548DB23A65CEF94A12F66D9C750D62AD9 |
|
CONTENT
ssdeep
|
1536:j3cfzAUho1Zg7/TTTanznC7ChjCJAmTC+dMPCjkdYC2GuqCqdaIhCj5hwCdHHOCf:bQAUl9PKgl1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6352d576284d58b |
|
VISUAL
aHash
|
46c13e46e5ee7f77 |
|
VISUAL
dHash
|
8c17c6844d48d1cd |
|
VISUAL
wHash
|
06c13646e52e5d77 |
|
VISUAL
colorHash
|
07208040001 |
|
VISUAL
cropResistant
|
8c17c6844d48d1cd |
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 694 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.