Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C81463A0131A3E3D552787D4E3F6B37491BDA259F61B9418A2BC12B21BCFC94F953E80 |
|
CONTENT
ssdeep
|
1536:T1OpbyxvyOBpR7M6jTqFKJ0RrEGBnv22xwAxDlxDQxjLxqHxdvx7WxQuxCJxf1x0:TYNwbqjXBEZdxkWYW/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8b5524759bc76698 |
|
VISUAL
aHash
|
00003c3c3c000101 |
|
VISUAL
dHash
|
43126969796913a3 |
|
VISUAL
wHash
|
f3803c7f3c3d0079 |
|
VISUAL
colorHash
|
38200000c00 |
|
VISUAL
cropResistant
|
43126969796913a3 |
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 192 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.