Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19114D7BC554219AFE136C6EB66207B2DF031839DCF3B9501E2F523299BB6C418DB6178 |
|
CONTENT
ssdeep
|
3072:peWBXhWNzrAgVnWkuPCXk0DYEQNFhOi/nWk4WePR:pMmC6feJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88e2559d2fbec461 |
|
VISUAL
aHash
|
1878793b191f1e00 |
|
VISUAL
dHash
|
f0d1c3f3f3f4b4f0 |
|
VISUAL
wHash
|
187879791f1f1e18 |
|
VISUAL
colorHash
|
38000c00008 |
|
VISUAL
cropResistant
|
f0d1c3f3f3f4b4f0 |
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 144992 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.