Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B3286766309193F61034699F6A1F76EA1AAD34FC90FD008F2AD12A317D7C85DC962E8 |
|
CONTENT
ssdeep
|
192:RQV/oKCnRZaLRemyfEDZ8EmEU2lZDgoh5ELEOJn9nT8f9:4DCnRYRxKvV0F0bB9T09 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e96916167726361d |
|
VISUAL
aHash
|
00f9f1f1f9ffffff |
|
VISUAL
dHash
|
94332303334c0300 |
|
VISUAL
wHash
|
0081818181ffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
3333231323440300,e8d48e96968ed6e8,60969c9646119080,69967169f0c8b245 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.