Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14653D872A048B13303635BD6A63B374932E7D11DCB670448E6EC47E66BC8CE1AC26B5D |
|
CONTENT
ssdeep
|
768:bLm1AQSVAAtXWtxEyK9QXqBSEDrPEO/BHObVQcpjfr+QXI5yq:bLmoVzFWtg9wq0EDrPE2BHObVQkqwsyq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93e16cbc90c397cc |
|
VISUAL
aHash
|
ff006e6e4e0e003c |
|
VISUAL
dHash
|
b698c8d8dc4c7171 |
|
VISUAL
wHash
|
ff406e6e6e0e003d |
|
VISUAL
colorHash
|
10180000000 |
|
VISUAL
cropResistant
|
8000808083830080,b698c8d8dc4c7171 |
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 301056 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.