Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14172A6A4D2885E3EE547C3D1EA71373833BA5197E64A0234C5FD8B795B42D8CE82B4C9 |
|
CONTENT
ssdeep
|
384:plB9PY+QIIguyQzD+kSjm7ENd8RXsZaRpcT84:plB9PYyzQzD+kd7Q8RXkax4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ed6db493c12ca4 |
|
VISUAL
aHash
|
6280746c66444000 |
|
VISUAL
dHash
|
c6268dc9cc8d9224 |
|
VISUAL
wHash
|
f3f3f76c66646000 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
be70e18287c3e13c,c2e13c1abc70c182,c6268dc9cc8d9224 |
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 242 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.