Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2142F785938EC7E4604848DD1CF3758B05F83478B0143BFB36A6D7A8BA14BB796D622 |
|
CONTENT
ssdeep
|
1536:EJeucFp+fwRD7EDSwqnyQXwIdUzME9IPIgdE/QOO3aieja82TaKe1aSFJ7CHi5A:GYrD9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2255a277378255a |
|
VISUAL
aHash
|
00ffe7c3e7ff9cfc |
|
VISUAL
dHash
|
59008e9e0d4e3529 |
|
VISUAL
wHash
|
00ffc7c3c3e7188c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
5968968e0dce3529,008020c1c9c92000,aac91bb2f24316b6 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
JavaScript intercepts form submissions before they reach the fake backend. This allows real-time credential harvesting and validation without server round-trips.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.