Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B392C6F4526462E5736B8F989119AF68336720BEEF339114E3E44784A7CAEACCCC55C0 |
|
CONTENT
ssdeep
|
384:02dEn+EnhEnyhiyVt7wxZ61aTJNI3dV9cU:ddS+ShSzyVtA61We9cU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1c169e5c56d65b4 |
|
VISUAL
aHash
|
7a3c7c7e7e260000 |
|
VISUAL
dHash
|
d2f0d4d4ccc423c4 |
|
VISUAL
wHash
|
7a3c7c7e7e7e0000 |
|
VISUAL
colorHash
|
382012000c0 |
|
VISUAL
cropResistant
|
540c2c9cc96d33a5,36f2f9ccdcec24f8,1716102c0c0c0c0d,45cdcfb5fdbefede,d2f0d4d4ccc423c4 |
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 104891 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.