Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136A3F9716280263F112781D4B1A5BBEEE12ED659CF234D4CA3BCD1C69BC6C64CE3A752 |
|
CONTENT
ssdeep
|
768:3lCiznY58HPUNJoZ4ymBtVYVCjEiUzJF0FoOdXpQhK8YcsHWHhodOhdXpQhK8YcZ:lzY2HkJxCV3iToOf8YchodOhf8Yc0O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dda3be22ab223b88 |
|
VISUAL
aHash
|
9938181818181818 |
|
VISUAL
dHash
|
29327272b3b3b030 |
|
VISUAL
wHash
|
bfbebc3c38181898 |
|
VISUAL
colorHash
|
31000010006 |
|
VISUAL
cropResistant
|
29327272b3b3b030 |
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 166 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