Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC1523B7644439B61B8E83C56BC0761A6E971B9DD4834F4BCCD18F0E99D4BF28809E4E |
|
CONTENT
ssdeep
|
6144:KKdEsb2ubtQmeMwJ215pMXyZyyVR/zqiw5xu9F1NK04yzCt6A:KO12iQmeMwJ2152XyZyyVR/zqiGw1RYB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98c867369363d99c |
|
VISUAL
aHash
|
e0f8d89c18020307 |
|
VISUAL
dHash
|
cda2b3ba32140e1e |
|
VISUAL
wHash
|
e0f8d8da9b07070f |
|
VISUAL
colorHash
|
07206000000 |
|
VISUAL
cropResistant
|
96d6ae323616ce8e,cda2b3ba32140e1e,2430336f9d874e86 |
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 408 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.