Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BE34531C6A50327D215078AE7DB3B5662DBD2C7CD527CE8F2A08135DBBAC482C76DA1 |
|
CONTENT
ssdeep
|
3072:SlyIKJrjylK2E6IOZuagKI3ImJS2wgIYLQICeIkPksuGIyIhuBnhpbF:YlKNQ5I9f3NrbF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed1695b26ab1462d |
|
VISUAL
aHash
|
fff1000000f1fbfb |
|
VISUAL
dHash
|
2f22622365a31213 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06e01000000 |
|
VISUAL
cropResistant
|
2b22632367a31213,00829c9c8c949200,9696969311531b59,8202020606060606,8c8cc5551b6d9b88,9f8d0d8c8f232264 |
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 116 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.