Recent commits do not automatically mean a dependency is well maintained. A project can keep shipping features while ignoring security fixes, dependency updates, and user reports, which expands attack surface without reducing exposure. The real risk is that maintenance effort is visible, but remediation discipline is missing, leaving vulnerable software in circulation for longer.
Why recent commits are not the same as security maintenance
Recent commits only prove that someone is changing the codebase, not that the project is reducing risk. A repository can be active while still leaving known vulnerabilities open, delaying dependency updates, or avoiding fixes that users are already reporting. For consumers, the useful question is whether the project is maintaining security discipline, not whether it is visibly busy.
That distinction matters because security maintenance is measured by what gets remediated, reviewed, and released, not by the raw volume of development activity. A project can ship feature work, accept contributions, and still preserve vulnerable code paths for long periods if no one owns patch triage, release discipline, or backward-compatible fixes. Recent commits can therefore create a false sense of safety.
One practical signal is whether the project addresses the kinds of issues that expose downstream users to supply chain risk, such as dependency pinning, malicious package exposure, or secret leakage. Open source ecosystems have repeatedly shown that active development does not prevent abuse when maintainers miss the operational work that keeps the project trustworthy. See the OpenSSF guidance on securing the open source ecosystem and the NIST SSDF (SP 800-218) for secure development practices that go beyond feature delivery.
Where the supply chain risk actually comes from
The risk is usually not “the project stopped.” It is that the project may still be publishing code while attackers or ordinary users can exploit stale dependencies, unpatched vulnerabilities, or compromised release paths. In practice, the consumer inherits the maintainer’s blind spots: a package can look healthy on the surface while carrying old transitive dependencies, weak release governance, or unresolved security reports.
That is why open source supply chain risk often shows up at the trust boundary around distribution, build provenance, and release integrity. If the maintainer is not verifying what goes into releases, or if the ecosystem lacks strong provenance controls, recent commits do little to reduce the chance that unsafe code is pulled into production. Frameworks such as SLSA are relevant here because they focus on build integrity and provenance, which are separate from whether the repo has new commits.
For readers evaluating a dependency, the presence of new commits should be treated as only one data point. More important signals are whether security advisories are closed promptly, whether releases are reproducible or signed, whether dependency updates are current, and whether maintainers respond to user reports with remediation rather than silence. A project with energetic feature development but weak remediation discipline can still be a poor trust choice.
Risk and Threat Considerations
Supply chain risk increases when activity hides neglect, because consumers may assume a live repository is a safe repository. Attackers benefit when maintainers are slow to patch, slow to rotate dependency versions, or slow to notice abuse in the release process, since those gaps keep vulnerable artifacts in circulation longer.
Failure mechanism: The project appears active, but security fixes, dependency hygiene, and release hardening lag behind feature commits, leaving exposed code and transitive risk in place.
Impact: Downstream users can ingest vulnerable or tampered software, inherit unresolved weaknesses for longer, and face compromise through the normal software update path.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
MITRE ATT&CK and OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0, CIS Controls v8 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | ID.RA-1 — Asset Vulnerabilities Are Identified and Documented | Active repos still carry risk when vulnerabilities remain untracked. |
| PR.IP-12 — Change Management | Recent commits are useful only when changes are controlled and reviewed. | |
| RC.IM-1 — Improvements Are Incorporated | Risk falls when security fixes and lessons are actually incorporated into releases. | |
| Recommendation — Track dependency and package vulnerabilities before trusting recent commit activity. Require controlled review of security-relevant changes and releases. Verify that security findings become shipped fixes, not just open issues. | ||
| CIS Controls v8 | 7 — Continuous Vulnerability Management | Open source dependencies need ongoing vulnerability detection and remediation. |
| 16 — Application Software Security | Software integrity and secure release practices directly shape supply chain exposure. | |
| 15 — Service Provider Management | External package maintainers function as supply chain providers to consumers. | |
| Recommendation — Continuously scan and remediate vulnerable open source dependencies. Validate software release integrity and secure build practices for dependencies. Assess maintainers as suppliers and verify their security practices. | ||
| NIST AI RMF | MAP-1 — Map Context and Risks | Consumers need to map repository activity to actual software supply chain risk. |
| GOV-1 — Governance Policies and Procedures | Remediation discipline and release governance depend on defined processes. | |
| Recommendation — Map maintenance signals to concrete risk before approving a dependency. Define governance that requires timely security remediation and release review. | ||
| MITRE ATT&CK | T1195 — Supply Chain Compromise | The question is about how active projects can still enable supply chain abuse. |
| Recommendation — Map dependency intake and release compromise paths to supply chain threat hunting. | ||
| OWASP Non-Human Identity Top 10 | NHI-01 — Secrets and Credential Management | Open source maintenance gaps often coexist with exposed credentials and weak secret hygiene. |
| Recommendation — Rotate exposed secrets and remove them from source, configs, and build systems. | ||
Practitioner Guidance
What to verify: Check whether the project publishes security advisories, closes issues with fixes, and updates dependencies on a cadence that matches the threat profile. If the repo is active but the release notes show no evidence of remediation discipline, treat the project as higher risk even if commits are frequent.
Decision rule: If you cannot confirm how the project handles vulnerability intake, release review, and dependency updates, prefer a version with stronger provenance, or put compensating controls around the dependency before broad deployment. Do not equate “recent commit” with “safe to consume.”
Practitioner takeaway: The real control question is whether the project can prove security maintenance, not whether it can prove motion.
Related resources from NHI Mgmt Group
- Why do maintainer accounts create supply chain risk in open source?
- Why do orphaned or stewarded open source packages create hidden supply chain risk in Linux environments?
- Why do supply chain attacks on open source dependencies create outsized risk in modern development environments?
- Why do open-source dependencies create more supply chain risk than the code your team writes?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 18, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
