getStaticProps is a Next.js data fetching function that runs at build time to supply props to a page before it is statically generated. It lets a page render with precomputed data, often from a CMS, API, or file system, without running server-side code on each request.
What getStaticProps Does
getStaticProps is part of Next.js static generation, so its defining characteristic is when it runs and what it produces. It executes during the build process, fetches or computes the data a page needs, and returns props that Next.js can use to pre-render HTML before the site is deployed.
That makes it different from request-time data fetching. The page can ship with content already assembled, which improves consistency and performance for pages whose data does not need to change on every request.
Where It Fits in Next.js Rendering
getStaticProps belongs to the build-time rendering model used for static site generation. In practice, it sits between the source of truth for content, such as a CMS, API, database export, or filesystem data, and the final page output that users receive.
Because the function runs before the page is served, it is best suited to content that can be safely precomputed. That includes documentation pages, marketing pages, product listings, and other page types where freshness is important but not necessarily real-time.
The key architectural trade-off is that the data is fixed at build time unless the site uses a regeneration strategy. For that reason, the function is as much about content delivery design as it is about data fetching.
Why Build-Time Data Fetching Matters
Build-time fetching reduces per-request work and makes pages easier to cache and scale. The server does not need to assemble the page on every visit, which can lower latency and reduce operational overhead.
It also changes failure behavior. If the data source is unavailable during the build, page generation can fail or produce incomplete output, so the reliability of the upstream content source becomes part of the publishing pipeline.
For teams using content platforms, the function is often the mechanism that converts editorial or structured source data into a fast, indexable webpage.
Common Usage Patterns and Constraints
Typical implementations pull data from a CMS, REST or GraphQL API, or local files, then return that data in a props object for the page component. That approach keeps page components focused on rendering while the fetching logic stays isolated in the page module.
There are also practical constraints. The logic must be safe to execute in the build environment, and any secrets or credentials used to reach private sources must be handled as deployment-time configuration rather than embedded in the page.
When a page requires frequent updates, teams usually pair this model with regeneration or choose a request-time approach instead. The right choice depends on how often the content changes and how costly it is to serve dynamically.
Risk and Threat Considerations
Build-time data fetching can expose content pipelines to availability and integrity risk. If the upstream CMS, API, or file source is compromised or misconfigured, the build can publish stale, incomplete, or attacker-influenced content across every generated page.
Failure mechanism: The page inherits whatever data the build process retrieves, so a poisoned source, exposed secret, or broken dependency can become a publishing-time compromise rather than a single-request issue.
Impact: One build-time failure can affect every deployed copy of the page, which makes content integrity, source authentication, and build pipeline trust materially important.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST SP 800-53 Rev 5, NIST CSF 2.0, CIS Controls v8 and OWASP SAMM set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST SP 800-53 Rev 5 | SC-12 — Cryptographic Key Establishment and Management | Build-time data sources often depend on protected credentials and transport trust. |
| IA-5 — Authenticator Management | Static generation commonly uses API keys, tokens, or other build credentials to fetch content. | |
| Recommendation — Protect build-time access with managed keys and rotated secrets. Inventory and rotate build credentials used to retrieve pre-render data. | ||
| NIST CSF 2.0 | PR.DS-01 — Data-at-rest is protected | Pre-rendered content and source data need protection in storage and build artifacts. |
| Recommendation — Protect source content and generated artifacts from unauthorized modification. | ||
| CIS Controls v8 | CIS-3 — Data Protection | Static site builds often move content through files, caches, and artifacts that need protection. |
| Recommendation — Classify and protect build inputs and generated page artifacts throughout delivery. | ||
| OWASP SAMM | Security Requirements | Static rendering choices should be governed in the software delivery process. |
| Recommendation — Define when build-time rendering is acceptable and how content sources are reviewed. | ||
Practitioner Guidance
Why practitioners should care: getStaticProps is a deployment pipeline decision as much as a rendering decision. Teams should treat its data sources as part of the release path, with clear ownership for source reliability, secret handling, and content refresh expectations.
Common misunderstanding: static generation does not mean “no security concern.” The security boundary shifts from request-time application logic to build-time dependencies, so the operational question becomes whether the build can safely trust the systems it reads from.
Practitioner takeaway: Use getStaticProps when precomputed content is genuinely appropriate, and make sure the data source, build environment, and refresh model are all governed with the same discipline as the page itself.
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Reviewed and updated by the NHIMG editorial team on November 2, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org