Common signs include stale issues and pull requests, long response times from maintainers, low closure rates, and a commit history that does not reflect security or dependency work. Taken together, these indicators suggest the project may be effectively abandoned even if it still receives occasional code changes. The strongest signal is persistent inaction on items needing attention.
What the maintenance signals are really telling you
A dependency that looks “quiet” is not automatically unhealthy. The more meaningful signal is whether the project still responds to bugs, security reports, dependency bumps, and release requests in a predictable way. If those work items are consistently left open, or only receive sporadic attention, maintenance capacity is probably below the level needed to keep the package trustworthy.
The practical test is whether the project can still absorb the routine friction that healthy dependencies generate. That includes triage, review, releases, and fixes to keep pace with upstream changes. A package can still receive commits and yet be functionally under-maintained if those commits do not address issues that users actually depend on being resolved.
For open source dependencies, the warning signs usually cluster around process health rather than raw commit count. Stale issue queues, unanswered pull requests, slow maintainer responses, and a backlog of unresolved dependency or security work indicate that the project may no longer have the bandwidth to support downstream consumers reliably.
- Issues and pull requests sit open for long periods without clear triage.
- Maintainer responses are infrequent, vague, or absent on operationally important tickets.
- Releases are irregular or do not incorporate obvious fixes from the queue.
- Commit activity exists, but it does not track security, compatibility, or dependency upkeep.
- Old versions remain current for long stretches because nothing is being cut or promoted.
One useful indicator is whether the project still closes the loop on maintenance work, not just whether code is occasionally merged. Healthy maintenance shows up in the cadence of issue handling, patch release behaviour, and visible stewardship, especially when dependency ecosystems evolve quickly around it.
Risk and Threat Considerations
An under-maintained dependency creates operational and security exposure even before it is formally abandoned. The longer a project goes without active maintenance, the more likely it is to accumulate unpatched bugs, delayed vulnerability fixes, broken compatibility, and unclear ownership, all of which increase downstream failure and compromise risk.
Failure mechanism: Maintenance debt builds when the project cannot keep pace with reports, releases, and ecosystem changes, so known issues remain open and security fixes lag behind exposure.
Impact: Consumers inherit higher risk of outages, vulnerability exposure, supply-chain fragility, and emergency replacement work when the dependency eventually fails under pressure.
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 CIS Controls v8 and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| CIS Controls v8 | CIS 4 — Secure Configuration of Enterprise Assets and Software | Software upkeep and release hygiene directly affect secure dependency posture. |
| CIS 7 — Continuous Vulnerability Management | Stalled security fixes and ignored reports are maintenance failure signals. | |
| Recommendation — Track dependency maintenance as part of secure software configuration and remediation discipline. Prioritise dependencies with unresolved security findings and slow patch turnaround. | ||
| NIST CSF 2.0 | GV.RM — Risk Management Strategy | Dependency maintenance gaps are a measurable third-party risk to manage. |
| ID.AM — Asset Management | Dependencies are software assets whose support status affects system trust. | |
| PR.IP — Information Protection Processes and Procedures | Release, patch, and change processes are central to keeping dependencies trustworthy. | |
| Recommendation — Fold dependency maintenance health into third-party and software risk decisions. Maintain an inventory that includes dependency ownership, versioning, and support status. Set review and update procedures that force action on stale dependency maintenance signals. | ||
| MITRE ATT&CK | T1195 — Supply Chain Compromise | Poorly maintained dependencies can become an easier supply-chain compromise path. |
| Recommendation — Monitor weakly maintained dependencies as potential supply-chain compromise entry points. | ||
| OWASP Non-Human Identity Top 10 | NHI-07 — Supply Chain and Third-Party Dependency Risk | A neglected dependency is a third-party trust and supply-chain risk signal. |
| NHI-08 — Visibility and Inventory Gaps | Stale maintenance often coincides with poor visibility into dependency status and ownership. | |
| NHI-09 — Lifecycle and Rotation Failures | Missed updates and stagnant releases mirror lifecycle control failures in dependency management. | |
| Recommendation — Assess third-party dependency stewardship before allowing it into critical paths. Require clear ownership and visibility for every dependency in use. Treat delayed updates and irregular releases as lifecycle risk that needs escalation. | ||
Practitioner Guidance
What to verify: Check whether the project has recent, substantive activity on issues, pull requests, and releases that affect reliability or security. A recent commit is less important than evidence that maintainers are actually closing maintenance loops.
Decision rule: If a dependency has a growing unresolved backlog and no visible maintainer response pattern, treat it as a replacement or containment candidate rather than assuming future fixes will arrive on time.
Practitioner takeaway: The best signal is not “is anyone still coding?”, it is “can this project still absorb and resolve the work that keeps downstream users safe and unblocked?”
Related resources from NHI Mgmt Group
- What are the signs that open source governance is failing in an application programme?
- What are the signs that an open source project is healthy enough for a first contribution?
- What are the signs that an open source dependency may be under active compromise?
- How do organisations decide when to trust an audited open-source dependency?
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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