Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6236172D101203713278AC8F271AF5EA1DB970ECD53D891E2FE8B899FD6DE29802D55 |
|
CONTENT
ssdeep
|
768:tb7ND0kRiDsn8/UZ4NGYcYQgNelele+e7oW9zKMX9VYyuhDpS8DpcCABi:97ND0kRiDsn8/UZ4kYvQrMMN7oSNX9VS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
897c77c5aa1dc861 |
|
VISUAL
aHash
|
000018187b7b0eef |
|
VISUAL
dHash
|
2160b3b1b3f3da4b |
|
VISUAL
wHash
|
0000181d7f7f6eef |
|
VISUAL
colorHash
|
39c01000040 |
|
VISUAL
cropResistant
|
2160b3b1b3f3da4b |
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 121 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.