Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9A554B452C01A7EF3CB8A78B1227EB570CCD305D9ABDC58B63C057266EDC4864179AB |
|
CONTENT
ssdeep
|
1536:/iGGfocewAbwerlak+gx83G9wscbbpmjr303Jn15KxEs+lvTQbQM:YHAbweIgS3G90lM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf55e0f015911f1e |
|
VISUAL
aHash
|
fee03c201fa0ffe0 |
|
VISUAL
dHash
|
480b686a6a6a0a0a |
|
VISUAL
wHash
|
eee03c001fe0ffe0 |
|
VISUAL
colorHash
|
07601000000 |
|
VISUAL
cropResistant
|
480b686a6a6a0a0a |
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 113 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.