Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E033A6386200593F15374F95F6D0F37C829EE34EC626867DF1BD22722682EE199739A4 |
|
CONTENT
ssdeep
|
768:tZd9P40BAmH5/hMYUYaY3YrYn0+GSYkY/hzQIIOf9aYu7Y10rYAJYk5GtntjyTZi:nPBBp0NFik0r7py |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c63939392d22e |
|
VISUAL
aHash
|
fd8191bfffe7efee |
|
VISUAL
dHash
|
49273728370e162a |
|
VISUAL
wHash
|
bd011096ffc3ab8a |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
49273728370e162a,dfcfbf3f3f7f3fff |
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 20 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.