Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDB21AE8235005FFA14387F9B495EB69F06E65C4DB2F888CF3A941A27FC6C0A5C611E5 |
|
CONTENT
ssdeep
|
768:mbuVTopKli0IlVVaEIOUPONefhGdJK8A2zPz:jEJVYOUPmefcdLr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d9537a5b426b49c |
|
VISUAL
aHash
|
6618183c18380000 |
|
VISUAL
dHash
|
c431306832704000 |
|
VISUAL
wHash
|
ff3c3c3c1c3c0000 |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
c431306832704000 |
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 312 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.