Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D64FE274159292A4037C3D424A95F3AD1AADD4FFAEB4A400EDCC7F73AFACA0741B159 |
|
CONTENT
ssdeep
|
1536:hRwR+F9tMbXlOJi55R+OvX0Cv8YCjWnH8ArXvUd0gAK6FyC0nxs8p3w7X5G1uz3z:dMwVCgjWH9kLjGIZg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c241693e969eb66c |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
9493c8dccccc23cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
0e0060000c0 |
|
VISUAL
cropResistant
|
c8c8d4cccc23234c,8693d293ccc8d4d4,4511456169614545,80454d7171454500,d6d222b195520d6c,94b4ad48d4265e58 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.