Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D643AF953A853F0D6464BE4ED722945332E20FE7FD48A88836189E0F5725CDE47ACA1 |
|
CONTENT
ssdeep
|
3072:EfKv4ze6lQAThxHgDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAk5:Ef0Dw/47g7/tj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1ce3031c43bc4ef |
|
VISUAL
aHash
|
ffffffffff0f07ff |
|
VISUAL
dHash
|
8000000800383a84 |
|
VISUAL
wHash
|
7272f3f3ff060000 |
|
VISUAL
colorHash
|
070010000c0 |
|
VISUAL
cropResistant
|
8000000800383a84,f6f6cacecac8d968 |
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 815 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.