Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B113C61542841E3E741783D8F7E6B330D169D389E17E962AF2BC02B256C7C89B9376D8 |
|
CONTENT
ssdeep
|
768:oUxg4C8+UpLKEpYshY2yluhfM5TUO9m1ZC0Mfpsf1sfosfrxsfesfrleDye09ewK:Rf+Ud7tigLiRKG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8064f733b93bc744 |
|
VISUAL
aHash
|
00703000000000ff |
|
VISUAL
dHash
|
cec7e7b3b4fcffa2 |
|
VISUAL
wHash
|
03737b090f0f01ff |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
5a1ab296322a8ccd,3237b5ec75b6b636,939354919a860b2a,ff82880000000000,cec7e7e7b3f4fcff |
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 18 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.