Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106435B73A362787C83CB81DEB7392E51B6C6A58DE9870494B1C86ADD23D3C8171877B4 |
|
CONTENT
ssdeep
|
1536:aS+EsZ/8ZeeOO8DTEe+wJMIBwwHMIBMwZUXx+y9dQyDF1ZAU84HaXwI:aHQlwewIUUXxpDzHy7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
818ef8b19ac6cbd8 |
|
VISUAL
aHash
|
ff02002004624040 |
|
VISUAL
dHash
|
c8b6c4ccc8ca8498 |
|
VISUAL
wHash
|
ff063036066e7e64 |
|
VISUAL
colorHash
|
39002008080 |
|
VISUAL
cropResistant
|
080c1000c0c000a0,ffed968acafdffff,b6f6cceccace8498 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.