Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14954B9F4133C52AC4547AEADDF3AAE94232FA0FDF96680908BAD8BB45597DC4F507840 |
|
CONTENT
ssdeep
|
3072:HmP/9yPi9N0mzbLhUWX1Gpbr8P2IYvSFgkGZF7Ak50dHIe2exYCIOYv5eZTahuXc:HXv5kzbA8g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fd1c1490994b6f63 |
|
VISUAL
aHash
|
1e96a18fc7e3e5e3 |
|
VISUAL
dHash
|
383453535b4f4f47 |
|
VISUAL
wHash
|
1e87208fc1e7e1e3 |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
383453535b4f4f47 |
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 172 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.