Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138A28311935D0420E37FB8C8B5F2EB9DA34B535AC24A87F866E62576D28C13C46732EC |
|
CONTENT
ssdeep
|
384:zFSwBC3WhBC3WhBC3Wnl4sUc/WCscsykeq82k+NP21Fw7FQPFKUb9FxDrEq+ffn:jBC3WhBC3WhBC3Wl4sUc/WCscsykeq8S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d97676d8d862c88a |
|
VISUAL
aHash
|
8000181818180000 |
|
VISUAL
dHash
|
40a83032b2b20c30 |
|
VISUAL
wHash
|
fc183c3c3c181cfc |
|
VISUAL
colorHash
|
38206000000 |
|
VISUAL
cropResistant
|
0004304d4db18d00,40a83032b2b20c30 |
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 14 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.