Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1684223BD5220453281435CDF6DB2134E21CFD159C90AFEE9EBB887D76EC6E818906B4B |
|
CONTENT
ssdeep
|
384:TC4bRAB2NwfTgrjSWWCjtpJ3SBvH3prYOF03fFC:TjbRAB2NwfTgrjSWWCjtpRStXprL03fU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4b3138c6957a1e5 |
|
VISUAL
aHash
|
008ee7c4f3b33000 |
|
VISUAL
dHash
|
1d3c0ca4a76766a2 |
|
VISUAL
wHash
|
848eefd6f3f33000 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
1d3c0ca4a76766a2 |
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 60 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.