Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D38221B0410424AB1AC7BDE5A4E2FF4791F2C6E9E50F9DC9A2AC0D591FC9F50D4D93A0 |
|
CONTENT
ssdeep
|
192:TwPCmbIrTnF7jAxuLs8uLguLiN8J0zcKHp/n53AxuLs8uLguLiNRrPHgtQ8yU76B:XmMPS2N8Jwp/m2NRrgtX58EfBs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c3ec1e3329c3ec1 |
|
VISUAL
aHash
|
00000000000efffe |
|
VISUAL
dHash
|
7c45333435baf8f0 |
|
VISUAL
wHash
|
0f00080f017ffffe |
|
VISUAL
colorHash
|
07400010000 |
|
VISUAL
cropResistant
|
7c45333435baf8f0,5c265adb4b654e4b |
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 126 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.