Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E342F028FD8A429713574CF97490EF0E37D29301CF13C265BA9261A41B8FCA7EBD8665 |
|
CONTENT
ssdeep
|
192:y4f33XyScs3oxTSszSj1egQcs3oxTSszSj1eanecsKU6USC:y4fiScs3oxaQcs3ox4ecsKgL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c96363c9c863e9c9 |
|
VISUAL
aHash
|
8100001818180000 |
|
VISUAL
dHash
|
03000030b2300010 |
|
VISUAL
wHash
|
c31f289f9838e8e6 |
|
VISUAL
colorHash
|
38038000000 |
|
VISUAL
cropResistant
|
03000030b2300010 |
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 12 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.