Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17622F8F8722404E1EE03D7CAF92232BAA003917EEE5256D8D3588758B299DFDC850DC6 |
|
CONTENT
ssdeep
|
192:QoUoBZJ5I9kP+Mu9cuGRmKbMpBXp7sfgg8gk:QZoWOBsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e626d99966261db2 |
|
VISUAL
aHash
|
7bff2727e7fffffe |
|
VISUAL
dHash
|
d2826d6d4d192502 |
|
VISUAL
wHash
|
70f40420a781fffe |
|
VISUAL
colorHash
|
07200000280 |
|
VISUAL
cropResistant
|
d2826d6d4d192502,e47a3d0e87c7c1d0,996c7637030349c9 |
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 487 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.