Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188349671E910EC2280BB69D8B9B7961F23E2D344D68246C3EA29C3F516D6C6CFD37184 |
|
CONTENT
ssdeep
|
6144:ixEm7DTNglFp0wcwKmgRmZYnlSxmZ/PxsNepecH8hKH:ixZ7DTNglFp05 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9102471ab1dfc5bb |
|
VISUAL
aHash
|
3c00ff4fcfde9ede |
|
VISUAL
dHash
|
f0e0019098106c12 |
|
VISUAL
wHash
|
1c00f84f4f9e8ece |
|
VISUAL
colorHash
|
07007008000 |
|
VISUAL
cropResistant
|
f0e0019098106c12 |
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 202 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.