Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2C20BB4335409FFA14387F9F091EB69F06A65C9DB2F8888E39941A63BC7C0B5C611D9 |
|
CONTENT
ssdeep
|
768:mbuVOopKli0IlVoK1IOUPONefhGdJK8A2zP3:+EJVqOUPmefcdLv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c9437b4b436b49c |
|
VISUAL
aHash
|
6618183818180000 |
|
VISUAL
dHash
|
c431306832704800 |
|
VISUAL
wHash
|
ff3c3c3c3c3c0000 |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
0000401313c00000,c431306832704800 |
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 285 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.