Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9F2DF30E886AC374193D1D4AF7A571B76E0E346CB4347059BF8C3AC6BEAD5AED11248 |
|
CONTENT
ssdeep
|
384:GJX5QzpcDT90x1Myk5gH3MMPRply4g8VbFoLsDgH:bzJ1Myk5gXMMPRpc4gibFoLsDgH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3669b9999646466 |
|
VISUAL
aHash
|
efe7c3c3ffffe7e7 |
|
VISUAL
dHash
|
104d0e0e001c0c0c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07200018040 |
|
VISUAL
cropResistant
|
104d0e0e001c0c0c,3796969c92767554 |
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 14495 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.