Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197237239230C3F2DA41B8BE8F7A8B765526D8395F61AD56DA2BC16715783C80FC33684 |
|
CONTENT
ssdeep
|
768:uFHtpuXi8m+hFyXWy/AbW3333dnnnnyZnnnnxnnnnf22+F:uF2Xi8nhMWU/3333dnnnnyZnnnnxnnnO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f326d988d6abcc88 |
|
VISUAL
aHash
|
e7c3e7e7e7ffcfde |
|
VISUAL
dHash
|
8e8e4c4d4c181990 |
|
VISUAL
wHash
|
c3c3c3e7c3df0c08 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8e8e4c4d4c181990 |
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 60 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.