Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151D2C87110D4773B058352C0A7B06B8EB7E64186DB524B8856FA874E5FCBDABEC32846 |
|
CONTENT
ssdeep
|
384:fHgJFRvXvkQZkblCAQJEZ0LyfIhXP1KSem/gHdR/D+8TYxlGdHfRG95KIcDuscDv:YJFh3/E4YdXoYH5GTH+K0Pm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92126d6d9292c76f |
|
VISUAL
aHash
|
0c043e0e0c78002d |
|
VISUAL
dHash
|
9cecccd879c2d059 |
|
VISUAL
wHash
|
0c0c3e2e0c7c3ebf |
|
VISUAL
colorHash
|
38440010000 |
|
VISUAL
cropResistant
|
860eced1c4c8c0c4,9cecccd879c2d059 |
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 103 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.