Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18A5387A1B20114A342B3DDD0E1B03F5A7AE2F70BD12ED500EAAE45A45FDBDF5BC150A9 |
|
CONTENT
ssdeep
|
384:tGyORMaD8glt+ZOL1JKZkRcJSqGIp3v7xiJX8g0Lq5kr4S8l0hKSslniCzIHtrkt:tG/RjMdpr6MfShqx2sP7N0xhZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99cc666619319b73 |
|
VISUAL
aHash
|
1038181818180018 |
|
VISUAL
dHash
|
21a232b2b2b22030 |
|
VISUAL
wHash
|
9838383c3c3c3c3c |
|
VISUAL
colorHash
|
38010400048 |
|
VISUAL
cropResistant
|
333339b292f21e0c,8010280606941400,21a232b2b2b22030 |
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 24 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.