Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9D2B7F1076429BD03078BE8EB35F3B6E1AB20E9E5A78A45F27C059117C5FD9E843684 |
|
CONTENT
ssdeep
|
384:GOhCgBdwpRXqcJXqPcLZhqXDZlSH4Ffgck83Eg7JY2oA3uuZjnqU/s:zSjxR46ZhqXDZlq4ZgH83Eg7uGnqU/s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2634e0859caceeb |
|
VISUAL
aHash
|
0000ffefefffffff |
|
VISUAL
dHash
|
62ce081e1e2c2524 |
|
VISUAL
wHash
|
0000e7c7cf979797 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
000b032929930004,0c0c1e1e202c2524,004116c6e6164104 |
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 12290 techniques to evade detection by security scanners and make reverse engineering more difficult.