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Log‐Based Intrusion Detection Systems

发布于 2024-10-11 20:49:16 字数 8237 浏览 0 评论 0 收藏 0

On your hosts across your network, it is vital to monitor the current state of a machine, check the files that are stored on that machine (the log files), and check to make sure that these files have not been changed. OSSEC operates on the principle that attackers who are successful at exploiting a vulnerability and have gained access to a machine will leave evidence of their activities. Once attackers gain access to a system, they of course will not want to lose access. Some attackers will establish some type of backdoor that allows them to return, bypassing all security you may have in place. A computer system should be able to detect these modifications and find persistent threats that penetrate firewalls and other network intrusion systems.

OSSEC is a security log analysis tool and is not known to be useful for log management. It will store the alerts but not every single log. You should have another mechanism for log storage if you need to store logs for your internal security policies or compliance. If you choose to use OSSEC as a HIDS, you will be using a database to monitor file system objects. OSSEC can remember size, attributes, and dates as well as a hash of contents on a machine. For example, if integrity is the most important aspect of file monitoring, an MD5sum hash will use an algorithm to create a digital fingerprint of the file.

With any new project/program implementation, there comes a need for current evaluation. Your team needs to define what success will look like, analyze your current situation, start with a few key components, and take a look at your incident response (IR) plan. An IR plan will contain policies, procedures, and guidelines surrounding processes to complete if an unplanned event occurs.

The benefits to using OSSEC is that it is an open‐source free tool that doesn't require a lot of hardware. This HIDS tool will give you visibility into logs generated by firewalls, applications, servers, and routers. You also gain visibility to encrypted protocols such as SSH and SSL logs.

A challenge with OSSEC is it focuses on reactive remediation, reacting to an event that already occurred rather than proactive remediation, where you mitigate and remediate the issue before it occurs. Another challenge you may face is “alert fatigue.” This happens when a system floods you with alerts hundreds of times to an event or incident. These can be managed with log correlation and fine‐tuning.

OSSEC can be used to monitor thousands of servers with OSSEC agents. These will be monitored by the OSSEC manager.

OSSEC is fairly easy to install, is easy to customize, is extremely scalable, and can use many different platforms, including Windows, Solaris, Mac, and Linux. Secure by default, there are hundreds of rules that can be used straight out of the box. One of the key benefits to OSSEC is how it helps customers meet specific compliance requirements such as those in the Payment Card Industry (PCI) and the Health Insurance Portability and Accountability Act (HIPAA). It lets users detect and alert on a file system modification that was unauthorized or if there is any malicious behavior in any log files. If your organization does have to subscribe to a compliance like PCI, you have to implement only one primary function per server to prevent functions that require different security levels from co‐existing on the same server. Web servers, database servers, and DNS should be implemented on separate servers. A database, which needs to have strong security measures in place, would be at risk sharing a server with a web application, which needs to be open and directly face the Internet. Each server may generate its own unique type of logs, and that may require some configuration of OSSEC. In Figure 5.1 , you see the process that OSSEC will use to gather, analyze, and possibly alert you to activity.

Illustration depicting the collection of data from agents analyzed and possibly generating alerts, requiring some configuration of OSSEC.

Figure 5.1 : The collection of data from agents analyzed and possibly generating alerts

The log analysis flow for the client/server/agent architecture begins with the collection of logs from the assets that need monitoring. After the logs are collected, generic information is extracted such as hostname, program name, and time from the syslog header.

The OSSEC is a virtual appliance based on CentOS and includes Elastic search‐Logstash‐Kibana (ELK). It comes with its own library of log decoders that will be used by default. These decoders can parse or analyze the logs from Windows, SSH, or Apache using default tags within the logs that help identify what they are and where they came from. The decoders in OSSEC are written in XML and organized into libraries to make them easy to open, decode, define, and close. As you see in Figure 5.2 , the virtual appliance spins up ready for you to begin interacting with the dashboard, libraries, and parsing data.

Screenshot depicting the virtual OSSEC appliance to begin interacting with the dashboard, libraries, and parsing data.

Figure 5.2 : The OSSEC appliance

OSSEC must first understand what is in a log before it can tell you if something is wrong or alert you to an event. After parsing the log and normalizing the data, it will match fingerprint with fingerprint and syntax with syntax, forwarding the log file to be evaluated by the rules for processing. If OSSEC receives a log that it doesn't understand, it will generate an event 1002, “Unknown problem somewhere on the system,” as you see in Figure 5.3 . One of the best solutions is to configure some type of trigger that lists a unique field in the log so it's no longer unknown.

“Screenshot of an OSSEC 1002 alert generating an event, “Unknown problem somewhere on the system.””

Figure 5.3 : An OSSEC 1002 alert

Straight out of the box, there is an extensive set of rules embedded in OSSEC. The rules themselves can be correlated and grouped. After decoding the log, the next step is to check the rules. The rules are internally stored in a tree‐type structure and allow you to match on user‐defined expressions based on the decoded information. There are more than 400 rules available by default. Please do not modify the default rules inside OSSEC as they will be written over when you upgrade.

There are two basic types of rules: atomic and composite. Atomic rules are based on a single event occurring, while a composite rule is based on patterns across multiple logs. When you're learning to write rules, it requires a rule ID, a level that is a number between 0 and 15, and a pattern. For example, if a log is decoded as SSH, generate rule 123. If you want to add a secondary rule, it will be dependent on the first. You can add more rules to be called if the second one matches; for example, you can specify whether the IP address comes from inside or outside the network. Be careful—don't write new rules dependent on composite rules. You should look at the original atomic rule that the composite rule is based on.

OSSEC can generate thousands of alerts a day and, if misconfigured, in a much shorter period of time. You must tune your instance or else you will start to ignore these alerts. Make sure your alerts are relatively rare and relevant to your environment.

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