Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F63336658467E3361432AEBF462BF1EB0A3824CDA521359A2F481BD27F3D70C91B15F |
|
CONTENT
ssdeep
|
1536:6q3O4UL0brzqL0b0jvo+83hiWCmTmEmXmgmvmPmRmZmGm3mimAmbmYm8mZmlmgmy:JO7N8JCmTmEmXmgmvmPmRmZmGm3mimAm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33c963c9238c76e |
|
VISUAL
aHash
|
0616706c7070707e |
|
VISUAL
dHash
|
9ce4c4c8c8c8c0c0 |
|
VISUAL
wHash
|
0e3e727c7070707e |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
b63633b2a5a536b6,4020202c24a52408,41e5032b2748598b,9ce4c4c8c8c8c0c0 |
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 255 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.