Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EC21835A60141A703BB99C1E6607F5FB6D7F30FC4168501ABBC91992FD3CBAB7610A2 |
|
CONTENT
ssdeep
|
192:6NVRg3W15rtFDFsF8FyFOfF9FDbFjMyjb6/t/of/9/V/V1Bf/H/YW/a/P/t/8/WC:I115rtFDFsF8FyFOfF9FDbFjMuTBg6JD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3672331cc9999cc |
|
VISUAL
aHash
|
c3c3ffffffefefff |
|
VISUAL
dHash
|
1e4d060c0c5e1c04 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000418000 |
|
VISUAL
cropResistant
|
1e4d060c0c5e1c04,99e068e0b8f8b8b8,98a0f078f830f8f8 |
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 24 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.