Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19212F1316014A577B7C3A9D5B0D6F74A50E6C5EED21E048C72991FCC4EE6EF0D4853A2 |
|
CONTENT
ssdeep
|
192:saPWz7DkngwInUAwzknFwIkNAh5knGwAh2ACuR4JEoIeW:sBnhwYw6wo3eW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
994d65939e649393 |
|
VISUAL
aHash
|
001818183c3c0000 |
|
VISUAL
dHash
|
1010303279790608 |
|
VISUAL
wHash
|
141c3d3dbdbd0303 |
|
VISUAL
colorHash
|
38010000e00 |
|
VISUAL
cropResistant
|
1010303279790608 |
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 71 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.