Wazuh is a free and open source platform used for threat prevention, detection, and response. It is capable of protecting workloads across on-premises, virtualized, containerized, and cloud-based environments.
Wazuh solution consists of an endpoint security agent, deployed to the monitored systems, and a management server, which collects and analyzes data gathered by the agents. Besides, Wazuh has been fully integrated with the Elastic Stack, providing a search engine and data visualization tool that allows users to navigate through their security alerts.
A brief presentation of some of the more common use cases of the Wazuh solution.
Intrusion detection
Wazuh agents scan the monitored systems looking for malware, rootkits and suspicious anomalies. They can detect hidden files, cloaked processes or unregistered network listeners, as well as inconsistencies in system call responses.
In addition to agent capabilities, the server component uses a signature-based approach to intrusion detection, using its regular expression engine to analyze collected log data and look for indicators of compromise.
Log data analysis
Wazuh agents read operating system and application logs, and securely forward them to a central manager for rule-based analysis and storage. When no agent is deployed, the server can also receive data via syslog from network devices or applications.
The Wazuh rules help make you aware of application or system errors, misconfigurations, attempted and/or successful malicious activities, policy violations and a variety of other security and operational issues.
File integrity monitoring
Wazuh monitors the file system, identifying changes in content, permissions, ownership, and attributes of files that you need to keep an eye on. In addition, it natively identifies users and applications used to create or modify files.
File integrity monitoring capabilities can be used in combination with threat intelligence to identify threats or compromised hosts. In addition, several regulatory compliance standards, such as PCI DSS, require it.
Vulnerability detection
Wazuh agents pull software inventory data and send this information to the server, where it is correlated with continuously updated CVE (Common Vulnerabilities and Exposure) databases, in order to identify well-known vulnerable software.
Automated vulnerability assessment helps you find the weak spots in your critical assets and take corrective action before attackers exploit them to sabotage your business or steal confidential data.
Configuration assessment
Wazuh monitors system and application configuration settings to ensure they are compliant with your security policies, standards and/or hardening guides. Agents perform periodic scans to detect applications that are known to be vulnerable, unpatched, or insecurely configured.
Additionally, configuration checks can be customized, tailoring them to properly align with your organization. Alerts include recommendations for better configuration, references and mapping with regulatory compliance.
Incident response
Wazuh provides out-of-the-box active responses to perform various countermeasures to address active threats, such as blocking access to a system from the threat source when certain criteria are met.
In addition, Wazuh can be used to remotely run commands or system queries, identifying indicators of compromise (IOCs) and helping perform other live forensics or incident response tasks.
Regulatory compliance
Wazuh provides some of the necessary security controls to become compliant with industry standards and regulations. These features, combined with its scalability and multi-platform support help organizations meet technical compliance requirements.
Wazuh is widely used by payment processing companies and financial institutions to meet PCI DSS (Payment Card Industry Data Security Standard) requirements. Its web user interface provides reports and dashboards that can help with this and other regulations (e.g. GPG13 or GDPR).
Cloud security
Wazuh helps monitoring cloud infrastructure at an API level, using integration modules that are able to pull security data from well known cloud providers, such as Amazon AWS, Azure or Google Cloud. In addition, Wazuh provides rules to assess the configuration of your cloud environment, easily spotting weaknesses.
In addition, Wazuh light-weight and multi-platform agents are commonly used to monitor cloud environments at the instance level.
Containers security
Wazuh provides security visibility into your Docker hosts and containers, monitoring their behavior and detecting threats, vulnerabilities and anomalies. The Wazuh agent has native integration with the Docker engine allowing users to monitor images, volumes, network settings, and running containers.
Wazuh continuously collects and analyzes detailed runtime information. For example, alerting for containers running in privileged mode, vulnerable applications, a shell running in a container, changes to persistent volumes or images, and other possible threats.
The Wazuh WUI provides a powerful user interface for data visualization and analysis. This interface can also be used to manage Wazuh configuration and to monitor its status.
Modules overview
Security events
Integrity monitoring
Vulnerability detection
Regulatory compliance
Agents overview
Agent summary
Here you can find all the automation tools maintained by the Wazuh team.
masterbranch contains the latest code, be aware of possible bugs on this branch.stablebranch on correspond to the last Wazuh stable version.
| Software | Version | Author | License |
|---|---|---|---|
| bzip2 | 1.0.8 | Julian Seward | BSD License |
| cJSON | 1.7.12 | Dave Gamble | MIT License |
| cPython | 3.9.9 | Guido van Rossum | Python Software Foundation License version 2 |
| cURL | 7.88.1 | Daniel Stenberg | MIT License |
| GoogleTest | 1.11.0 | Google Inc. | 3-Clause "New" BSD License |
| jemalloc | 5.2.1 | Jason Evans | 2-Clause "Simplified" BSD License |
| libarchive | 3.5.1 | Tim Kientzle | 3-Clause "New" BSD License |
| libdb | 18.1.40 | Oracle Corporation | Affero GPL v3 |
| libffi | 3.2.1 | Anthony Green | MIT License |
| libpcre2 | 10.34 | Philip Hazel | BSD License |
| libplist | 2.2.0 | Aaron Burghardt et al. | GNU Lesser General Public License version 2.1 |
| libYAML | 0.1.7 | Kirill Simonov | MIT License |
| Linux Audit userspace | 2.8.4 | Rik Faith | LGPL (copyleft) |
| msgpack | 3.1.1 | Sadayuki Furuhashi | Boost Software License version 1.0 |
| nlohmann | 3.7.3 | Niels Lohmann | MIT License |
| OpenSSL | 3.0.12 | OpenSSL Software Foundation | Apache 2.0 License |
| pacman | 5.2.2 | Judd Vinet | GNU Public License version 2 (copyleft) |
| popt | 1.16 | Jeff Johnson & Erik Troan | MIT License |
| procps | 2.8.3 | Brian Edmonds et al. | LGPL (copyleft) |
| rpm | 4.16.1.3 | Marc Ewing & Erik Troan | GNU Public License version 2 (copyleft) |
| sqlite | 3.36.0 | D. Richard Hipp | Public Domain (no restrictions) |
| zlib | 1.2.11 | Jean-loup Gailly & Mark Adler | zlib/libpng License |
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Wazuh Copyright (C) 2015-2023 Wazuh Inc. (License GPLv2)
Based on the OSSEC project started by Daniel Cid.