Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5722239344474AA563397C1F4E1AF087483A33ECA594664A7FB0BA17FC9CF148A1B79 |
|
CONTENT
ssdeep
|
192:rQFCgSIYnLN23z9jBY0KYYRIDu44SJPvErEFbjITzhBeC3D:8OnLN2D96IYReu44SJ9FbjITzhBeC3D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e242d3f75d1c8c8c |
|
VISUAL
aHash
|
6464ff0000ffffff |
|
VISUAL
dHash
|
e8c800094d080000 |
|
VISUAL
wHash
|
00007800e7e7ffff |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
e8c800094d080000,0000101010101000 |
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 40 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.