Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18861EE61705C2A2B135363CD7AA2B72B72D3C153DF8A1B0112F4579F9ED2E46CC150AB |
|
CONTENT
ssdeep
|
48:ScWNmpkXhZPRlgIRgJ8H8TedGPpWNHIEAgLYzbNW5vxcZl4IxDvx7uLDYM94qz0l:VKXhJcKGpW6EAgLObALcKzUhGo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
889b23b58fe18cec |
|
VISUAL
aHash
|
8b0a18181a5ac210 |
|
VISUAL
dHash
|
5396b2b2b2b286a1 |
|
VISUAL
wHash
|
fb0b58581e5ec370 |
|
VISUAL
colorHash
|
31201200010 |
|
VISUAL
cropResistant
|
5396b2b2b2b286a1 |
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 30 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.