Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169712271561C2C3D360786D8EB39736A31AB5389AB0F311079BD13B496C6E6DED370A4 |
|
CONTENT
ssdeep
|
48:TU9q57ZAuK2+Qs324PMHyQgz2i93SggxjfwGF706vNqQ3UpAe8rSA4ie14nZY/aa:TUSKt2+H23SXgZwGFlNqTuU1ubvu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9b436ccd8717388 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
72ccb2b2b2b24c70 |
|
VISUAL
wHash
|
870f7ffef8781000 |
|
VISUAL
colorHash
|
30006200000 |
|
VISUAL
cropResistant
|
1a5b04080c0c0096,72ccb2b2b2b24c70 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.