Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120C236A0A018BE33429B41D9A6F2879731D4C305CE461245EBF987F94BF7CE4FA1D466 |
|
CONTENT
ssdeep
|
384:aHYOOV38zWds9UUfQjLfQKY/jcNFpOnbDQ7ki0qk3kS5ObzmME4tOzUKzXaNRsIZ:a4OOV38zXLj4iV1ZgKji5Jdv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b20759a753025df |
|
VISUAL
aHash
|
000000003c3c3c3c |
|
VISUAL
dHash
|
9010101269796978 |
|
VISUAL
wHash
|
db1c1c1c3c3c3cbc |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
9010101269796978 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Victim enters banking credentials including account numbers and security questions. Attacker gains full access to victim's banking services.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.