Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA53F9301042AE2E29D352E06760EB89E776F344D31B874DA3FC924B7BDAD55FC261A4 |
|
CONTENT
ssdeep
|
1536:Z31RQVjvjPqSiDj0E6KAvgkiIJh5A731uNVj5aqS74Mv+eY73QLe0AzKaQ6QUStl:1AALFAMCQzYa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9266996d3c936a93 |
|
VISUAL
aHash
|
0464640e46c88e8e |
|
VISUAL
dHash
|
a9cdcccccc191818 |
|
VISUAL
wHash
|
0c74766ec6cc8e8e |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
367acaca2666cc9c,f13916262e4e4d6d,8c8c88d0c08080c0,a9cdcccccc191818 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.