Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DC2947151402B3B11D383C97751736FA1A3938DDB4A092292FD836E4FE7E61CE2396A |
|
CONTENT
ssdeep
|
768:eHy5NlJq3HPeNvQL/Q0z7sOy2+y9BH4c1Ie:Dq3HoQDtz7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b512c7ed923839b2 |
|
VISUAL
aHash
|
3e000e8efff3fbfe |
|
VISUAL
dHash
|
e0f41c1c3c239798 |
|
VISUAL
wHash
|
3c00048e8fd1fbfe |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
e0f41c1c3c239798 |
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.