Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6C1FAF355206D2A2227C6DCF26673B961A2410BE7962C24E7EE82FDC7CDC49C637644 |
|
CONTENT
ssdeep
|
96:TvPu/ssVtVGDAVdnPc7ABLlMpr+N1qDU4L9of8O+MxwZqvZP7AxTW5NPr:jG/ssnPc76ephq1xwMvBMxK5x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c33c3c921e65e3 |
|
VISUAL
aHash
|
8000606c6c000018 |
|
VISUAL
dHash
|
00c0c2c9c9d60830 |
|
VISUAL
wHash
|
ff006c7c6c6400ff |
|
VISUAL
colorHash
|
38000007040 |
|
VISUAL
cropResistant
|
00c0c2c9c9d60830 |
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 45 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)