Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158F43AE4D3805EA7648F47E0F291E7D6D0722A25F6468F58B3AE58015BDFCB2DB22170 |
|
CONTENT
ssdeep
|
3072:QqSGOYEl5SGOYElTeCakwpeeCakwp9eCakwp9eCakwp9eCakwpAeCakwp0eCakwZ:Q6UT9psq/JWiOT0gUH7k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d8c7261379dcc66 |
|
VISUAL
aHash
|
00003c3e18380000 |
|
VISUAL
dHash
|
86ceb2b2f2f2da33 |
|
VISUAL
wHash
|
42267e7f3efe2800 |
|
VISUAL
colorHash
|
30041018000 |
|
VISUAL
cropResistant
|
c6c6c6e296908e86,86ceb2b2f2f2da33 |
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 18 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.