![]() Now, a word of caution: Patator isn't very beginner-friendly, so there's a bit of a learning curve with the syntax that can take some getting used to. Understanding and filtering HTTP status codes play a big part in identifying the difference between a failed and successful login attempt. Identity and filter failed requests: With modern routers, very rarely will a successful login attempt makes itself known.The wordlist will need to reflect this as needed. Some authentication methods involve hashing or encoding the credentials in the client's browser before making the request. Generate a targeted wordlist: A targeted wordlist containing 10,000 passwords is usually more effective than a wordlist of 10 million random passwords.Modify and save the request: After the parameters have been identified, insert a placeholder into the request to help Patator iterate through the desired wordlist.Identify the parameters: It's important to identify where the dynamic parameters (i.e., username and password) are stored in the request as some login forms handle authentication differently.Capture a login request: A single login attempt is captured in Burp to analyze the request. ![]() I'll show a kind of general procedure to follow when performing such attacks. Not all router gateways handle authentication the same. To demonstrate, I'm going to show how to use Patator against two popular consumer routers found on Amazon. My favorite feature of Patator is the raw_request module that allows penetration testers to brute-force HTTP logins much like Burp's Intruder module. ![]() The developers have tried to make it more reliable and flexible than its predecessors. Patator, like Hydra and Medusa, is a command-line brute-forcing tool.
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