Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192F143A2D0489D360B5241D6F7763B6F76E18148DB124FA426F4D33E6BCAE61CA324CD |
|
CONTENT
ssdeep
|
96:Tf7WAzDxLSTBJ8v67MSgdqrtTYnECVbkmyZKg3uuAZ5STyGAT431:+AzDx2D8iIZgNYnEESfLs8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a96c82d629d7297c |
|
VISUAL
aHash
|
ffc3c1c381c3ffff |
|
VISUAL
dHash
|
800f17171717009a |
|
VISUAL
wHash
|
ff8181818181ff5f |
|
VISUAL
colorHash
|
0f030000040 |
|
VISUAL
cropResistant
|
800f17171717009a,2a16331733333332 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.