Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15792D131B300156B22B3D6C5E5617F2EB693F30FC50AA55479EE99861FC7CB1BA610B0 |
|
CONTENT
ssdeep
|
192:6TVR9jMIFTF+FUFJFiFfF6qFLFNYSQgagO6MEB7CTwjP:0hMIFTF+FUFJFiFfF6qFQTg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
996499333333cb66 |
|
VISUAL
aHash
|
181818081818183c |
|
VISUAL
dHash
|
3030303030303030 |
|
VISUAL
wHash
|
3c3c3c38383c3c3c |
|
VISUAL
colorHash
|
38000030008 |
|
VISUAL
cropResistant
|
3030303030303030 |
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 34 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.