8 Ways to Identify and Fix Open Source Vulnerabilities

4 MIN READ
MIN READ

The number of open source components in proprietary apps continues to rise—a 2018 code audit found that there were 257 open source components per proprietary application. The same audit found that 57 percent of the average proprietary application codebase was open source. Open source projects give developers convenient access to high-quality code that can save them precious time in fast-paced modern development teams. However, because the open source model depends on community collaboration to identify and fix security problems in addition to setting security standards on a per-project basis, there is no guarantee that the open source components your company’s apps depend on are vulnerability-free. Large numbers of applications can become exposed to a vulnerability found in a single open source dependency. Apache Struts 2 is a case-in-point: this framework is widely used in modern web apps, including a host of Fortune 100 companies. The much-publicized Equifax data breach happened because hackers exploited a critical Struts vulnerability that could allow remote attackers to run malicious code on web servers. The damage caused by this Apache Struts vulnerability serves as a stark warning to organizations that they must take active steps to find and fix open source vulnerabilities in their code. Here are eight tips for uncovering and dealing with vulnerable open source code.

1. Enforce Prudent Security Standards

Lackadaisical security standards will encourage developers to take huge risks and use open source libraries or frameworks when building apps without considering security at all. Make sure it is organizational policy to develop with a security-first mindset. Require that developers check open source components for either disclosed or undisclosed vulnerabilities before using them. Communicating the risks involved in using vulnerable open source components, both to the wider application and to the organization as a whole, can also go a long way towards reinforcing why your security standards need to be so strict.

2. Get More Visibility

Modern solutions like software composition analysis tools and log management tools can provide greater visibility into open source vulnerabilities and whether they are being exploited. Software composition tools identify all open source used in source code, binaries, containers, build dependencies, and components. Logging tools like LogDNA will facilitate the analysis of large volumes of log data, providing visibility into suspicious network activity and system events across your infrastructure. This log data analysis can help identify if open source vulnerabilities are being exploited.

3. Inhibit Vulnerabilities With Containers

A container is a unit of software packaged with everything it needs to run, including libraries, system tools, dependencies. Running your libraries, frameworks, or apps inside containers provides isolation from other containers and from host systems, which limits the potential damage from any open source vulnerability.

4. Apply Security Patches Promptly

Quite often the damage from a given vulnerability is not due to the lack of a fix, but poor patch management by companies exposed by that vulnerability. The Equifax Struts data breach exemplified what goes wrong when patches aren’t applied promptly. The credit reporting agency neglected to apply an update that fixed a major bug in Struts, and the resulting breach cost the company $242 million. The lesson? Keep up to date with security patches for open source projects and apply them as soon as possible to vulnerable application components.

5. Test Components and Dependencies

Several useful tools exist that can test applications for several types of vulnerabilities and even pinpoint the precise location that the security issue arises from. Grabber, for example, is a lightweight tool that scans web apps for issues such as cross-site scripting and SQL injection. Other useful testing tools for uncovering security vulnerabilities include nogotofail, W3af, and Wfuzz.

6. Gather Dependencies With Build Automation Tools

Build automation tools like Maven and Gradle not only describe how an application is built, they can also list all the application’s dependencies, which is extremely useful for identifying vulnerable open source components. A simple command is all it takes for you to get a printed dependency tree in either Gradle or Maven. Other build automation tools often offer similar functionality in listing dependencies.

7. Check Vulnerability Databases

A number of vulnerability databases exist that collate information on different types of vulnerabilities, and it is prudent to check them regularly. The CVE database is a good starting point because it contains a regularly updated list of publicly known cybersecurity vulnerabilities. OSS Index is also worth checking out; it is a database used by developers to identify open source dependencies and check for vulnerabilities.

8. Audit Code Commits

A difficulty with identifying vulnerabilities in open source projects is that developers often don’t publicly report the security defects that they find, perhaps due to the extra work involved or simple forgetfulness. To find out about undisclosed vulnerabilities and their fixes, you can audit the commits for open source projects. Manually this would be quite tedious, but a tool such as Commit Watcher can automate auditing by flagging commits with words such as exploit, vulnerability, or security.

Conclusion

Actually detecting open source vulnerabilities is half the battle when it comes to avoiding the monetary and reputational costs of a serious cybersecurity incident. Enforce prudent security standards, adopt containerization, regularly test applications, and gain visibility into documented and undocumented vulnerabilities and all dependencies. To remediate vulnerabilities, apply patches promptly, preferably from point releases so that you don’t make changes that could break the functionality of your apps.

Table of Contents

    Share Article

    RSS Feed

    Next blog post
    You're viewing our latest blog post.
    Previous blog post
    You're viewing our oldest blog post.
    Mezmo’s AI-powered Site Reliability Engineering (SRE) agent for Root Cause Analysis (RCA)
    What is Active Telemetry
    Launching an agentic SRE for root cause analysis
    Paving the way for a new era: Mezmo's Active Telemetry
    The Answer to SRE Agent Failures: Context Engineering
    Empowering an MCP server with a telemetry pipeline
    The Debugging Bottleneck: A Manual Log-Sifting Expedition
    The Smartest Member of Your Developer Ecosystem: Introducing the Mezmo MCP Server
    Your New AI Assistant for a Smarter Workflow
    The Observability Problem Isn't Data Volume Anymore—It's Context
    Beyond the Pipeline: Data Isn't Oil, It's Power.
    The Platform Engineer's Playbook: Mastering OpenTelemetry & Compliance with Mezmo and Dynatrace
    From Alert to Answer in Seconds: Accelerating Incident Response in Dynatrace
    Taming Your Dynatrace Bill: How to Cut Observability Costs, Not Visibility
    Architecting for Value: A Playbook for Sustainable Observability
    How to Cut Observability Costs with Synthetic Monitoring and Responsive Pipelines
    Unlock Deeper Insights: Introducing GitLab Event Integration with Mezmo
    Introducing the New Mezmo Product Homepage
    The Inconvenient Truth About AI Ethics in Observability
    Observability's Moneyball Moment: How AI Is Changing the Game (Not Ending It)
    Do you Grok It?
    Top Five Reasons Telemetry Pipelines Should Be on Every Engineer’s Radar
    Is It a Cup or a Pot? Helping You Pinpoint the Problem—and Sleep Through the Night
    Smarter Telemetry Pipelines: The Key to Cutting Datadog Costs and Observability Chaos
    Why Datadog Falls Short for Log Management and What to Do Instead
    Telemetry for Modern Apps: Reducing MTTR with Smarter Signals
    Transforming Observability: Simpler, Smarter, and More Affordable Data Control
    Datadog: The Good, The Bad, The Costly
    Mezmo Recognized with 25 G2 Awards for Spring 2025
    Reducing Telemetry Toil with Rapid Pipelining
    Cut Costs, Not Insights:   A Practical Guide to Telemetry Data Optimization
    Webinar Recap: Telemetry Pipeline 101
    Petabyte Scale, Gigabyte Costs: Mezmo’s Evolution from ElasticSearch to Quickwit
    2024 Recap - Highlights of Mezmo’s product enhancements
    My Favorite Observability and DevOps Articles of 2024
    AWS re:Invent ‘24: Generative AI Observability, Platform Engineering, and 99.9995% Availability
    From Gartner IOCS 2024 Conference: AI, Observability Data, and Telemetry Pipelines
    Our team’s learnings from Kubecon: Use Exemplars, Configuring OTel, and OTTL cookbook
    How Mezmo Uses a Telemetry Pipeline to Handle Metrics, Part II
    Webinar Recap: 2024 DORA Report: Accelerate State of DevOps
    Kubecon ‘24 recap: Patent Trolls, OTel Lessons at Scale, and Principle Platform Abstractions
    Announcing Mezmo Flow: Build a Telemetry Pipeline in 15 minutes
    Key Takeaways from the 2024 DORA Report
    Webinar Recap | Telemetry Data Management: Tales from the Trenches
    What are SLOs/SLIs/SLAs?
    Webinar Recap | Next Gen Log Management: Maximize Log Value with Telemetry Pipelines
    Creating In-Stream Alerts for Telemetry Data
    Creating Re-Usable Components for Telemetry Pipelines
    Optimizing Data for Service Management Objective Monitoring
    More Value From Your Logs: Next Generation Log Management from Mezmo
    A Day in the Life of a Mezmo SRE
    Webinar Recap: Applying a Data Engineering Approach to Telemetry Data
    Dogfooding at Mezmo: How we used telemetry pipeline to reduce data volume
    Unlocking Business Insights with Telemetry Pipelines
    Why Your Telemetry (Observability) Pipelines Need to be Responsive
    How Data Profiling Can Reduce Burnout
    Data Optimization Technique: Route Data to Specialized Processing Chains
    Data Privacy Takeaways from Gartner Security & Risk Summit
    Mastering Telemetry Pipelines: Driving Compliance and Data Optimization
    A Recap of Gartner Security and Risk Summit: GenAI, Augmented Cybersecurity, Burnout
    Why Telemetry Pipelines Should Be A Part Of Your Compliance Strategy
    Pipeline Module: Event to Metric
    Telemetry Data Compliance Module
    OpenTelemetry: The Key To Unified Telemetry Data
    Data optimization technique: convert events to metrics
    What’s New With Mezmo: In-stream Alerting
    How Mezmo Used Telemetry Pipeline to Handle Metrics
    Webinar Recap: Mastering Telemetry Pipelines - A DevOps Lifecycle Approach to Data Management
    Open-source Telemetry Pipelines: An Overview
    SRECon Recap: Product Reliability, Burn Out, and more
    Webinar Recap: How to Manage Telemetry Data with Confidence
    Webinar Recap: Myths and Realities in Telemetry Data Handling
    Using Vector to Build a Telemetry Pipeline Solution
    Managing Telemetry Data Overflow in Kubernetes with Resource Quotas and Limits
    How To Optimize Telemetry Pipelines For Better Observability and Security
    Gartner IOCS Conference Recap: Monitoring and Observing Environments with Telemetry Pipelines
    AWS re:Invent 2023 highlights: Observability at Stripe, Capital One, and McDonald’s
    Webinar Recap: Best Practices for Observability Pipelines
    Introducing Responsive Pipelines from Mezmo
    My First KubeCon - Tales of the K8’s community, DE&I, sustainability, and OTel
    Modernize Telemetry Pipeline Management with Mezmo Pipeline as Code
    How To Profile and Optimize Telemetry Data: A Deep Dive
    Kubernetes Telemetry Data Optimization in Five Steps with Mezmo
    Introducing Mezmo Edge: A Secure Approach To Telemetry Data
    Understand Kubernetes Telemetry Data Immediately With Mezmo’s Welcome Pipeline
    Unearthing Gold: Deriving Metrics from Logs with Mezmo Telemetry Pipeline
    Webinar Recap: The Single Pane of Glass Myth
    Empower Observability Engineers: Enhance Engineering With Mezmo
    Webinar Recap: How to Get More Out of Your Log Data
    Unraveling the Log Data Explosion: New Market Research Shows Trends and Challenges
    Webinar Recap: Unlocking the Full Value of Telemetry Data
    Data-Driven Decision Making: Leveraging Metrics and Logs-to-Metrics Processors
    How To Configure The Mezmo Telemetry Pipeline
    Supercharge Elasticsearch Observability With Telemetry Pipelines
    Enhancing Grafana Observability With Telemetry Pipelines
    Optimizing Your Splunk Experience with Telemetry Pipelines
    Webinar Recap: Unlocking Business Performance with Telemetry Data
    Enhancing Datadog Observability with Telemetry Pipelines
    Transforming Your Data With Telemetry Pipelines
    6 Steps to Implementing a Telemetry Pipeline