Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8B3C6F482B075FD421BBBD4DB316ABF355B747EEBA3868443B947A26A87C98D404C10 |
|
CONTENT
ssdeep
|
1536:kXfbX0KElQLfUU5doDJElQLfUUQlQLfUUzJ4CFKc+yFm+9fBidh5mXb:AEINIQIpFqO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c11474771d1c7c7 |
|
VISUAL
aHash
|
2c00f7cf8fbfffbf |
|
VISUAL
dHash
|
cc340c9839622222 |
|
VISUAL
wHash
|
2400374f8d9bbb9b |
|
VISUAL
colorHash
|
07000c00048 |
|
VISUAL
cropResistant
|
cc340c9839622222 |
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 1072 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.
Found 10 other scans for this domain