Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA61512080258D335997C5E8AAB1EB1F7192834DCB175F181AF883AE7BDFD408B91399 |
|
CONTENT
ssdeep
|
48:dYg134paJ50cIBJw3xzPkEChl3jnMifaqNTCSt6pFFkNJbyzPS3SyQk28DB4:bFaI0ZwtPkDlnf/5CRNAJ6PYV2L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9dc8623737e8c81d |
|
VISUAL
aHash
|
0018181800000000 |
|
VISUAL
dHash
|
4cb2b2b23a4c386c |
|
VISUAL
wHash
|
001c5e5e063eaf9f |
|
VISUAL
colorHash
|
07400000180 |
|
VISUAL
cropResistant
|
8a88b2a2803333c2,4cb2b2b23a4c386c |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Found 1 other scan for this domain