Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119C29571A110273F52AB82C97721F31EE2E3828DDB550D0593FC836E8BD3E90DA67566 |
|
CONTENT
ssdeep
|
768:vS5y5N5RxWnXZQHGzFJN7sOy2+y9BH4c1Ie:fxWnCmzF37sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53899398dc6 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98c8c0c8c9f70e00 |
|
VISUAL
wHash
|
00f478302c03ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,9cc8c4c0c8cdf70e |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.