Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167D2DF611D4C45ADF2A32ABEE0903A6F5647FE2EC51034C4D3CB876666F6FB1C52628C |
|
CONTENT
ssdeep
|
384:C687yNAbHedrucUw6Ajl7dq6Ajl7dT6Ajl7dq6Ajl7dr6Ajl7dk6Ajl7dN6Ajl7v:C687w1ucU1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc8cc133f3c319e3 |
|
VISUAL
aHash
|
ffff18100000ffff |
|
VISUAL
dHash
|
f0b0b0b08000c0c1 |
|
VISUAL
wHash
|
ff7e18000000ffff |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
f0b0b0b08000c0c1 |
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 30 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.