Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D93AB30D1500A3304C392C5EBF7672E62E1D71ACE231E9EA7F8835A2F8BD989F15565 |
|
CONTENT
ssdeep
|
1536:3ca9swEa+HY3lABfEAQT6qg+3Oi6GnnRylwieO3jGWQZ+TqJe9fKD:aa526v8TqJe9y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d82b270b1cf2ef2 |
|
VISUAL
aHash
|
5e3c39381c107c03 |
|
VISUAL
dHash
|
9cf0e3f2b0f0f0d3 |
|
VISUAL
wHash
|
7e3f3c3a1c10782b |
|
VISUAL
colorHash
|
31206000000 |
|
VISUAL
cropResistant
|
9cf0e3f2b0f0f0d3 |
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 28 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.