Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1030264E1C544ED3B031286D5FBF56B5FB792C349CF06098093F842AB9BCACA0CA1659D |
|
CONTENT
ssdeep
|
192:QcLZQ79oh4lzH0XsiEdxLndcNrhz9xdYWxIkQz:QcLZgLX3Lndc5ddYOIB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b30cccce46999c |
|
VISUAL
aHash
|
ffefffe7ff000000 |
|
VISUAL
dHash
|
0c0c0c0c08081000 |
|
VISUAL
wHash
|
ffe7e7e7e7000000 |
|
VISUAL
colorHash
|
07000030080 |
|
VISUAL
cropResistant
|
0c0c0c0c08081000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.