Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B733FB1C659213B02674DD4B5705B4FB2E3831DDEA78A0167FC87CE6BDBC90EA0458A |
|
CONTENT
ssdeep
|
1536:Q0QAKmtObpW30i9CCNxRQp3x0UxiGnR0QnCosX35x:9sdYtx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be63d396c11c2cc3 |
|
VISUAL
aHash
|
ffc18183ff9797ff |
|
VISUAL
dHash
|
6c0b2b2b4f2f2c1b |
|
VISUAL
wHash
|
ff818181a7978787 |
|
VISUAL
colorHash
|
07e40000000 |
|
VISUAL
cropResistant
|
6c0b2b2b4f2f2c1b,2c2e6363f1e3e373,3525657971636b33,c020c9cc88c8cc37 |
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 46 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.