Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1268395719355063F121B0AD860B02B1B32EBD34DEA57980963FC43976FDBCA0CD96EA5 |
|
CONTENT
ssdeep
|
1536:MQS4AmO9ZWWDBFEpdWISQKFK6KsKSK7KSuKtHHAgow8cEKFnj3K2ANdhmFK5mu+4:MFOvpKFK6KsKSK7KSuKtHHAgow8cEKFs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e8a127a8987676dc |
|
VISUAL
aHash
|
c3c3d2585fc30000 |
|
VISUAL
dHash
|
8782a2b2b2938440 |
|
VISUAL
wHash
|
c3e3fbdadfc30000 |
|
VISUAL
colorHash
|
380000081c0 |
|
VISUAL
cropResistant
|
8782a2b2b2938440 |
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 5 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.