Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A73A52911401F3E666387E8F2E4B329A26EC3A8D767955EF2AD00732BC7C55C9372D4 |
|
CONTENT
ssdeep
|
1536:585DGuKRjV4Ux4jxtX0Plj/BM5U6rpStcJzsDVfm8UF:vMmbu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebb2556a148b4796 |
|
VISUAL
aHash
|
9dc7efbd85e1f9be |
|
VISUAL
dHash
|
790f0e2b2d2b6332 |
|
VISUAL
wHash
|
81c7e3858da1bd9c |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
790f0e2b2d2b6332 |
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 50 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.