Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E2331B021705ABF5187D7A8F660AF6991DC8388D593C17DE2E9C3AA0FC6C74CD8C255 |
|
CONTENT
ssdeep
|
384:y95FV3JdRTe2IZL8qXRza0k3bFVJiVaco+jEVf6lCXsSFsnvKKVaccyzsFys34+:y9Vhq9a0Gbv7cXEtPc8FX4+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9966669999666c33 |
|
VISUAL
aHash
|
0000001818180000 |
|
VISUAL
dHash
|
003054b2b2b2320c |
|
VISUAL
wHash
|
00001c1c1c1c0000 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
58735a3960494d96,003054b2b2b2320c |
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 101 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.