Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140C3A572E248517B229783D15BA8AF5FA383418ECEA34991F7E8C7990BDFDD0EC05158 |
|
CONTENT
ssdeep
|
3072:sExqYAxjGX/Q7MJYF+jGXCQ7xoYpRn14IVQgsrQ7FfYq8Si9Q59ZYz9gs4Q7SCYB:aRnp5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d03f3fd043342fc2 |
|
VISUAL
aHash
|
0000007c7c7c7c00 |
|
VISUAL
dHash
|
1c30b2ace8a0a4e4 |
|
VISUAL
wHash
|
0018fe7cfe7e7c00 |
|
VISUAL
colorHash
|
32200000006 |
|
VISUAL
cropResistant
|
64242c6c6c60386b,f4e2c26666c2a2a6,1c30b2ace8a0a4e4 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.