Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B79206E1600130FA927396D0D5713F58B2D2FB4AD699C90457EC02EB1FCBDA2B80967E |
|
CONTENT
ssdeep
|
192:6EVRwnZIv/lklkn3GXX7MKU2jLMk/EWDlp7H:Tokn3kXQT2jLMksgHj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc9b339366cc3133 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
203030b030303030 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38207000000 |
|
VISUAL
cropResistant
|
203030b030303030 |
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 25 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.