Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AE166B0C9586B3B429392D4B3F67F16B3E086C3D7D10A04B5F94B889BDDD16C817255 |
|
CONTENT
ssdeep
|
96:nUme5i99E9ZSTWlTUz3vPzDbl4/tFI94LSBOG6bm9QvZKhlos7:nAA9zylgz3vPzDb+nI2LSBG5ej7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cc96d3cc948b663 |
|
VISUAL
aHash
|
181a3c3c3c060018 |
|
VISUAL
dHash
|
32f4e8f0f0c406f0 |
|
VISUAL
wHash
|
1b7e7c3c3c26003c |
|
VISUAL
colorHash
|
30006200000 |
|
VISUAL
cropResistant
|
0c0c0c0c0c081000,287ce4ec9c9ed2f2,32d4f8f0f0c406f0 |
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 81 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain