Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DA20F38A08019B7148B46E1B3B05F4FF281C767CB27E798A3E5D36A5AD7D34CE44268 |
|
CONTENT
ssdeep
|
384:bFotjMJR4RbRyRNNRNxRzV2RqR4ROR/RSR0R+RwRDRkzRQRGRGRERqRrRzRiRnR5:potwJi5ofNfxu0igFIm8+xOzm8YC4ddA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d037cb2b1cb4e0cb |
|
VISUAL
aHash
|
004066c600407e7e |
|
VISUAL
dHash
|
20c684ac6481a8ac |
|
VISUAL
wHash
|
0026fec600e0feff |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
20c684ac6481a8ac |
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 16 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.