Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1766111609012583F1A7358CCB4F8B71FA5C3D29FCF671914A2FD47C84BEAD418A98AD5 |
|
CONTENT
ssdeep
|
48:8aQ48xf/5pj8TXlToz8SFCsx1fB4tqusifuiSKu8gffAiifqOcbiun:8wC8T1kzK4UVuiSU02qDH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91c639f8c433d897 |
|
VISUAL
aHash
|
7e7e7e7efecf0101 |
|
VISUAL
dHash
|
d8c8f8e4e49a5b5a |
|
VISUAL
wHash
|
3c7c7e7efe4b0000 |
|
VISUAL
colorHash
|
06400018000 |
|
VISUAL
cropResistant
|
d8c8f8e4e49a5b5a,c6466765357737c7,8a1b131f5f6c2f47 |
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 152 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.