Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D273836021631A7B01A7C2F462B1E72BF1D1C21CCA7BD949A3FC839B5BCBC50ED96654 |
|
CONTENT
ssdeep
|
1536:hOnOm79tpt70JATEPIgubfkNw4fE6pQpfpD:hOnOmZtpt701PsCE6pQpfpD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80a17e549f2f465d |
|
VISUAL
aHash
|
1f1f1f1f1f000000 |
|
VISUAL
dHash
|
fffffffff8a40000 |
|
VISUAL
wHash
|
3f7f3f3f3f100000 |
|
VISUAL
colorHash
|
30000000038 |
|
VISUAL
cropResistant
|
fffffffff8a40000 |
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 283026 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.