Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C24743462442E3CA65387F1F265B73891AED38EDB1F8859F6BC01B667CAC44D933690 |
|
CONTENT
ssdeep
|
1536:SfQDZlb4lS2ZWLZTpbQvVLdjedE4EMbZ9Muc6UvoGm+cbBQMNI1N:SfQH6E5+hkKFp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1253cd3e0e09b3d |
|
VISUAL
aHash
|
400000f1edede841 |
|
VISUAL
dHash
|
94618ecbc9999b91 |
|
VISUAL
wHash
|
400043ffedfde941 |
|
VISUAL
colorHash
|
38000400210 |
|
VISUAL
cropResistant
|
94618ecbc9999b91 |
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 46 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.