Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD5102725110F81E113799A0766266DF5392F31FCD9A2885B5FD03DA1BE2ED4CCB3512 |
|
CONTENT
ssdeep
|
48:T3WZ46o3iWtHMKVzfIff2H8Dv08NA5cDpYjZS3wBqwZ9k:TUo3iW6uQHvXNA5cDpc8eqMk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cc99cc33cc3166 |
|
VISUAL
aHash
|
ffefe7e7e7ffffe7 |
|
VISUAL
dHash
|
12484c4c4c2a3248 |
|
VISUAL
wHash
|
3f272727243c3c24 |
|
VISUAL
colorHash
|
07207000000 |
|
VISUAL
cropResistant
|
12484c4c4c2a3248 |
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 2901 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.