Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9D29831B2106E374197C1C67271A76BA2E7438FEA460512E2FD93AD0BE3D14DF2761A |
|
CONTENT
ssdeep
|
768:tekb/1EJHo65s5fK+bi+LO7sOy2+y9BH4c1Ie:r3V5fbigO7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d207b43cbd34e586 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccccc0c8cc8c00 |
|
VISUAL
wHash
|
027c74306044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
8c0c808158d88000,d4ccccc8c0c8cc8c |
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.