Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDF26030570C9D335997C9DCB2B1235AB2A5C30AC6521530A6E443BD0FDFEE8C9AB967 |
|
CONTENT
ssdeep
|
768:7WyEfx1KJ5LDgJDzxbSNcs2NRskpXimTUeX2Q:5DwbSNctMeXh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87bf783e78688862 |
|
VISUAL
aHash
|
003f3f3f3f3f0000 |
|
VISUAL
dHash
|
236060606060c941 |
|
VISUAL
wHash
|
00bf3f3f3f3f0020 |
|
VISUAL
colorHash
|
1e006000000 |
|
VISUAL
cropResistant
|
236060606060c941 |
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 200 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.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain