Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B240A67A181723AA9A364E11CBF9D1E7237451EA3094C7161ACCE384778864D7BFFC8 |
|
CONTENT
ssdeep
|
3072:mjtqXGNHiHtnSimHSTK6ygEquGN3+f9K3ZN1OCxrEkMgA68o:IqXGNHwQHSTKvGNFlEo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c32c6d923a6d34e3 |
|
VISUAL
aHash
|
007060046c6c6060 |
|
VISUAL
dHash
|
26c0c0c9cdcdc8d0 |
|
VISUAL
wHash
|
b27060747c7c787c |
|
VISUAL
colorHash
|
38000200030 |
|
VISUAL
cropResistant
|
26c0c0c9cdcdc8d0 |
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 103729 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.
| ID | Portuguese | English | Trigger |
|---|---|---|---|