Dependency confusion in healthcare presents an unusual software supply chain risk because malicious code can enter an application without an attacker directly compromising the developer, source-code repository, or production server. A healthcare software team could deploy an apparently legitimate update to a patient portal while its build system quietly retrieves an attacker-controlled software package. From the outside, the development process may appear to be operating exactly as intended.

This scenario matters as hospitals, physician practices, health-tech companies, medical billing providers, and other U.S. healthcare organizations become increasingly dependent on internally developed and third-party software. Modern applications are assembled from numerous packages, frameworks, APIs, libraries, and cloud components. Every component introduces another relationship that development and cybersecurity teams need to understand.

Traditional application security asks whether developers wrote secure code and whether attackers can exploit the finished application. Software supply chain security adds another question: Do we know exactly what entered the build? Dependency confusion demonstrates why protecting the software-development process itself has become an important part of healthcare cybersecurity.

What Is a Dependency Confusion Attack?

Dependency confusion is a software supply chain attack involving the way development environments resolve software packages. An organization may maintain a private package for internal use while its build environment also has access to public package repositories. An attacker who discovers the private package’s name may attempt to publish a malicious public package using that same name.

Under vulnerable configurations, the package manager may retrieve the public attacker-controlled version instead of the legitimate internal package. The attacker does not necessarily need access to the organization’s private repository or developer credentials. Instead, the attack abuses the rules determining where the build system searches for software.

OWASP describes dependency confusion as an attack involving malicious packages placed in public repositories using names that match private dependencies. If dependency resolution favors or otherwise accepts the public package, malicious code can enter the build process. This makes repository configuration itself a security boundary.

How Dependency Confusion Could Affect a Healthcare Application

Consider a healthcare technology company that maintains a private library named patient-data-utils. Developers use the package across an internal patient portal, but it exists only in the organization’s private software repository. An attacker discovers the name through exposed configuration, source code, documentation, logs, or another source.

The attacker then registers patient-data-utils in a public package repository and publishes a malicious version. Meanwhile, the organization’s development environment is configured to search both its internal repository and the public registry. Under an unsafe dependency-resolution configuration, the attacker’s package could be selected during a future build.

The build pipeline may then process the malicious dependency as though it were legitimate software. No attacker had to break through the healthcare organization’s firewall or directly alter its private source repository. The trusted development process effectively brought the malicious component inside.

Modern Healthcare Software Contains Many Dependencies

Patient portals, telehealth applications, billing platforms, healthcare APIs, analytics applications, and internal clinical tools are rarely constructed entirely from code written by one organization. Developers routinely use open-source libraries, commercial components, cloud SDKs, authentication frameworks, database connectors, and logging tools. This is normal modern software development.

A typical healthcare application might contain:

• Internally developed libraries
• Open-source packages
• Commercial components
• Cloud SDKs
• API libraries
• Authentication frameworks
• Database connectors
• Logging and monitoring tools
• Front-end frameworks
• Transitive dependencies

Every dependency creates a trust relationship. Some components may themselves depend on dozens of additional packages, creating a dependency tree that developers cannot realistically assess by looking only at the application’s visible source code. Healthcare software supply chain security therefore requires visibility beyond internally written code.

Why an SBOM Matters

NIST describes a Software Bill of Materials, or SBOM, as a formal record containing details and supply chain relationships of components used in building software. An SBOM can give organizations greater visibility into the software components contained within applications. That information becomes particularly valuable when a vulnerability or malicious package is discovered.

Suppose security researchers announce tomorrow that a commonly used package has been compromised. A healthcare organization with appropriate component inventories can begin identifying which applications may contain the affected dependency. Without that visibility, security teams may need to manually investigate individual applications while the potential exposure remains unresolved.

An SBOM does not automatically prevent dependency confusion. It provides visibility that can support vulnerability response, software inventory, component analysis, and supply chain risk management. Prevention still requires controls around how packages are selected, retrieved, verified, and incorporated into builds.

Why Dependency Confusion Matters in Healthcare

A build server may seem several steps removed from patient information. However, the software produced by that system could eventually execute inside a patient portal, billing platform, cloud application, or another trusted healthcare environment. The path between development and production creates the security connection.

A simplified path might look like:

Developer → Package Repository → Build Pipeline → Patient Portal → Production Environment

If malicious code enters at the dependency stage, it may eventually execute with whatever permissions the affected application possesses. Depending on the package, application, and surrounding controls, potential consequences could include credential theft, unauthorized network connections, secret exposure, altered application behavior, or access to information available to the application.

A Malicious Dependency Does Not Automatically Mean a PHI Breach

It is important not to overstate the risk. The presence of a malicious package does not automatically establish that patient information was accessed or that a HIPAA breach occurred. Actual impact depends on what code executed, where it executed, what privileges were available, and what systems or data were reachable.

A malicious development dependency that executes only in an isolated build environment may create a different impact from one bundled into a production patient application. Network segmentation, application permissions, secrets management, endpoint protection, and runtime monitoring can further affect the potential blast radius. Investigation should therefore follow evidence rather than assumptions.

Nevertheless, the supply chain gives attackers another opportunity to enter the environment before an application reaches production. This is why healthcare application security cannot focus exclusively on vulnerabilities discovered after deployment. Development and build environments require security controls of their own.

Why Scanning Your Own Code Is Not Enough

Traditional secure development programs frequently emphasize static analysis, dynamic testing, code review, and penetration testing. Those controls remain valuable, but they primarily address certain risks in the software developers create. Modern applications also inherit risk from software that developers consume.

CISA and partner guidance for open-source software recommends measures such as verifying provenance, validating package integrity, securely configuring package sources, using version pinning and lock files, and implementing trusted or curated software feeds. These measures reduce opportunities for development environments to retrieve unexpected components. They also provide greater control over what enters a software build.

NIST’s Secure Software Development Framework similarly emphasizes protecting software and its components from unauthorized access and tampering throughout development. It also emphasizes producing well-secured software and responding to vulnerabilities. The broader principle is straightforward: the build pipeline should be treated as a security boundary, not merely an automation tool.

1. Control Where Healthcare Software Dependencies Come From

Development teams should define which repositories are authorized to supply software. Build systems should not retrieve packages from arbitrary public sources simply because a matching package name exists. Internal dependencies should have clearly defined authoritative repositories.

Configuration is particularly important when both private and public registries are required. Teams should understand exactly how their package manager selects between sources when duplicate or similar package names exist. Defaults should never be assumed to provide the intended security behavior.

Healthcare organizations should also document these configurations as part of secure development standards. Changes to package sources can then undergo appropriate review. A seemingly minor repository configuration change can alter the trust model of an entire build pipeline.

2. Use Package Namespaces or Scopes

Package ecosystems that support namespaces or scopes can provide stronger separation between organizational packages and unrelated public packages. npm, for example, supports scoped package names such as @organization/package-name. A scope can also be associated with a particular package registry.

This makes the package’s intended source more explicit than relying solely on a generic unscoped name. Organizations should still configure registries securely and verify package behavior, because naming conventions are only one defensive layer. The goal is to remove ambiguity wherever possible.

Healthcare software teams should incorporate naming and repository standards into development governance. New internal packages should follow those standards from their creation rather than being secured only after they become widely used. Consistency reduces the number of exceptional configurations security teams need to manage.

3. Use Curated Internal Software Repositories

Instead of allowing every developer workstation and build server to communicate freely with public package registries, organizations can route software dependencies through an approved internal repository or proxy. This creates a controlled point between external software ecosystems and internal development. Packages can then undergo organizational checks before widespread use.

A curated repository can support activities such as:

• Approving software packages
• Enforcing package allowlists
• Scanning components
• Caching known versions
• Recording provenance
• Restricting unexpected packages
• Centralizing dependency visibility

This model does not make every open-source package inherently trustworthy. It gives the organization a stronger mechanism for deciding what software enters its environment. For healthcare organizations developing critical applications, that additional control can substantially improve software supply chain governance.

4. Pin Dependencies and Use Lock Files

A build should not unexpectedly consume a completely different dependency version simply because a newer package became available. Version pinning allows teams to define which versions an application expects. Lock files can further record the resolved dependency versions used for reproducible builds.

These controls reduce unnecessary variability between development and production. They can also make unexpected dependency changes easier to identify during code review. However, they should not be viewed as complete protection against malicious packages.

Pinned software can itself contain vulnerabilities or become compromised. Organizations still need vulnerability monitoring, provenance controls, integrity verification, and processes for securely updating dependencies. Pinning primarily helps ensure that changes happen intentionally rather than silently.

5. Verify Package Integrity and Provenance

Healthcare software teams should be able to answer three basic questions about a dependency: Where did it come from? Is it the component we approved? Has it changed unexpectedly? These questions move software security beyond package names and version numbers toward provenance.

Where supported and appropriate, cryptographic hashes, signatures, repository metadata, build attestations, and other integrity mechanisms can help validate software components. CISA guidance recommends verifying integrity and provenance when consuming open-source software. These measures make it more difficult for unexpected components to blend silently into legitimate development workflows.

Provenance becomes especially important when software moves through multiple stages before reaching production. A package may be downloaded, cached, rebuilt, bundled into a container, and deployed through CI/CD automation. Organizations should understand how trust is preserved throughout that chain.

6. Maintain and Use an SBOM

Creating an SBOM should not become a compliance exercise in which the resulting file is generated and forgotten. Security teams should be able to use component information when new vulnerabilities or malicious packages are disclosed. That requires keeping software inventories reasonably current and connecting them with vulnerability-management processes.

An SBOM can help answer which applications contain a particular dependency and potentially which versions are involved. This can shorten the time required to determine exposure during a fast-moving software supply chain incident. Faster identification allows remediation teams to focus on affected systems instead of searching blindly.

Healthcare organizations purchasing software can also consider component transparency within vendor risk management. Not every vendor will provide identical SBOM capabilities, but organizations should understand how important suppliers track and respond to vulnerabilities in their dependencies. Software component visibility increasingly affects both developers and buyers.

7. Monitor the Build Pipeline

CI/CD and build environments should generate security telemetry rather than operating as invisible automation. Unexpected package downloads, repository changes, new dependencies, modified lock files, unusual build scripts, and abnormal outbound network connections can deserve investigation. Administrative activity involving build infrastructure should also be monitored.

Access to build systems should follow least-privilege principles. Developers, service accounts, CI/CD tools, and deployment systems should receive only the permissions required for their responsibilities. Build credentials should not provide unnecessary access to production healthcare environments.

Secrets management is equally important. API keys, cloud credentials, signing keys, deployment tokens, and database passwords can make development infrastructure attractive to attackers. Compromise of a build environment should not automatically provide unrestricted access farther downstream.

8. Test the Healthcare Software Supply Chain

Penetration testing often begins with the production application, asking whether an attacker can bypass authentication, exploit an API, or reach sensitive information. Organizations developing important software internally should also evaluate the environment responsible for creating that application. Security testing can determine whether development assumptions actually hold.

Testing should consider whether:

• Public packages can override private dependencies
• Unauthorized repositories are reachable
• Package integrity controls can be bypassed
• Build processes unnecessarily expose secrets
• CI/CD credentials have excessive privileges
• Malicious components could reach production
• Build infrastructure has unnecessary outbound access
• Repository controls can be circumvented

The fundamental question is no longer only whether an application can be compromised after deployment. Healthcare DevSecOps teams should also determine whether it can be compromised while it is being built. That expands penetration testing from the finished application into the software delivery process.

Secure the CI/CD Path to Production

A dependency confusion attack becomes more consequential when compromised build output can move automatically into production. Continuous deployment can dramatically accelerate legitimate software delivery, but automation can also accelerate malicious changes if security gates are weak. Organizations should understand exactly what must occur before a build becomes production software.

High-value environments can require code review, dependency checks, artifact verification, security testing, and appropriate approval before deployment. Production systems should consume approved build artifacts rather than rebuilding unpredictably from uncontrolled sources. These measures reduce opportunities for the contents of software to change unnoticed between development and deployment.

Organizations should also protect software signing processes. Signing an artifact can provide useful assurance only when the organization trusts the process that created and signed it. A perfectly valid signature on an already compromised build does not solve the underlying supply chain problem.

Final Thoughts

Dependency confusion in healthcare demonstrates why modern application security must extend beyond the code developers write. An attacker may not need to compromise a private repository if the build environment can be manipulated into retrieving malicious software from somewhere else. Repository controls, scoped packages, curated feeds, version pinning, integrity verification, SBOMs, CI/CD monitoring, and security testing can help reduce this software supply chain risk.

Sometimes malicious code is not inserted after an application reaches production—it arrives disguised as something the application itself requested. Healthcare organizations should know what enters their builds, where every component originated, and whether security controls can prove that the software reaching production is the software they intended to deploy. For more practical guidance on healthcare cybersecurity, application security, DevSecOps, penetration testing, HIPAA security, and software supply chain risk, follow Tempest Healthcare IT on LinkedIn: https://www.linkedin.com/company/tempesthealthcareit/