Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A62627131511A3F622356F5F0E0EB9AA4A4F30DCA53DD59E3FD02AB2BC6DC18CA2564 |
|
CONTENT
ssdeep
|
192:SYzjGH/HRHoJtJs1F75nlAnCYXchoISA96Ok6Mk6b9Eyv9vrvE9tWwbJIN2g:rzj3JQ55nlAnCYEoHA2uyvFrvEnJe3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333333333cc998c |
|
VISUAL
aHash
|
e7e7ffe7ffffffff |
|
VISUAL
dHash
|
4d4d324d48323448 |
|
VISUAL
wHash
|
070727272b3b3b2b |
|
VISUAL
colorHash
|
07000008007 |
|
VISUAL
cropResistant
|
4d4d324d48323448,2286c6c6a60a8045 |
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 124 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 2 other scans for this domain