Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DB3D67EA28446AF90CBC3FBF713BBC161DEC29BE667565598FCD2954294CA2DD03080 |
|
CONTENT
ssdeep
|
3072:czEua6sJwiDYxctCxDZdxU0zVuD2gJwiCYxctCxDZ/0UJzVuD2gJwiCYxctCxDZm:P6oZQZQZN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9865779a6439669a |
|
VISUAL
aHash
|
001800183c3c1c00 |
|
VISUAL
dHash
|
843334b27171b139 |
|
VISUAL
wHash
|
c63c1c3c3c3c3c3c |
|
VISUAL
colorHash
|
3800a400000 |
|
VISUAL
cropResistant
|
f08a173349e8686e,843334b27171b139,9e33717169545555 |
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 87003 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.