Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3C2436491402D27D3179ACFECF5674F228AC229CA092454FA7447A39FDBC101926F9F |
|
CONTENT
ssdeep
|
384:lfh19gJ02Fftn1VMtqM+X5meeeeeqtItatK5rb:lfh19gJ02Jj205meeeeeqaMI9b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f870707c7c787074 |
|
VISUAL
aHash
|
80fffffffffbffff |
|
VISUAL
dHash
|
3180c9712433a3c0 |
|
VISUAL
wHash
|
007d2c0d93897b7f |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
3180c9712433a3c0,0000000101000000 |
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 77 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.