Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187D2C6709344592F1187C2FCE63ABF165368C380D7478E95E3E887ADBEC5DAACC99184 |
|
CONTENT
ssdeep
|
384:bnWlCIRIIfVY4VJD8tYMW731rqZOeCIRI3fVY4VJD8t4M2731rqi:b0CIuIp8uMa1rujCIu3p8OM61rl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92c36d2c9a6dc792 |
|
VISUAL
aHash
|
00607e2c0e240000 |
|
VISUAL
dHash
|
83c0c8d858c80008 |
|
VISUAL
wHash
|
43607e7e7e7e0000 |
|
VISUAL
colorHash
|
38c00018000 |
|
VISUAL
cropResistant
|
96333939399cc5e5,83c0c8d858c80008 |
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 245 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.
Pages with identical visual appearance (based on perceptual hash)