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1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsAnthropic’s OSS Scanner is a free, opt-in security-scanning service for open-source projects. A core maintainer or an authorized representative enrolls by opening a pull request in Anthropic’s oss-scanner repository, adding a project configuration and a Dockerfile-based build that works during an offline audit. Anthropic reviews eligibility case by case; projects with a critical effect on infrastructure or user security, meaningful remote-attack exposure and substantial downstream use are the strongest candidates.
Before submitting, confirm that your project can handle unreviewed, model-generated vulnerability reports, reproduce findings, resolve false positives and build reliably without network access after dependencies are prepared. The guide below shows how to make that assessment, prepare project.yaml, validate it locally, and pause or leave the service later.
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What Anthropic’s OSS Scanner does
The scanner analyzes enrolled open-source projects for security defects and other bugs. Enrollment is free, but it is not automatic: Anthropic decides whether a project qualifies and manually verifies that the person requesting access is a lead maintainer or has the lead maintainer’s authorization.
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Reports are generated by models without human review or triage. A report can be invalid, incomplete, or assigned an inflated severity, and a suggested patch can be incomplete or break existing behavior. Treat every item as a lead that your maintainers must reproduce and assess in the project’s own threat model. The service is aimed at projects that can keep up with verified high- and critical-severity findings.
Check whether your project is a realistic candidate
Anthropic’s FAQ uses eligibility language similar to OSS-Fuzz: “We accept established projects that have a critical impact on infrastructure and user security.” That is a baseline, not a published scoring formula. Anthropic can change its criteria as enrollment changes and can decline a project even after it has been submitted.
| Eligibility signal | Questions to answer | What to document |
|---|---|---|
| Established security importance | Does the project protect, process or enable infrastructure or user security? Is that importance obvious from public documentation? | A short explanation of the project’s role, deployment footprint and security consequences if it is compromised. |
| Remote attack exposure | Can an attacker reach code paths through untrusted input? Libraries that parse network data, files, requests or other hostile input are the clearest examples. | Entry points, trust boundaries and the kinds of inputs an attacker can control. |
| Downstream reach | How many users, distributions, products or dependent projects rely on the code? | Approximate user and dependent-project counts, package adoption indicators or other public evidence. |
| Response capacity | Can maintainers reproduce, prioritize and fix a continuing stream of reports, including false positives and severity disagreements? | Named security contacts, triage ownership and a process for testing proposed fixes. |
| Offline-build readiness | Can a container install dependencies and build the project before the scanner loses internet access? | A deterministic Dockerfile, pinned or otherwise reproducible dependencies and passing in-container tests. |
Explain importance when it is not obvious
The FAQ specifically suggests adding a brief explanation when a project’s infrastructure or user-security importance cannot be inferred from its public pages. Keep the explanation concrete: identify what the software protects or parses, who depends on it and what an attacker could reach. Do not describe popularity alone as a security impact.
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Assess hostile-input exposure
Remote reachability is an important indicator. A parser, protocol implementation, service framework or library that accepts untrusted input can expose vulnerabilities to attackers who never need local access. Map those paths honestly; merely being published as open source does not establish remote exposure.
Count users and dependents carefully
Anthropic names both direct users and other projects that depend on the code as relevant considerations. Use an approximate figure when an exact count is unavailable and label the basis for the estimate. A large dependency graph can matter even when the project itself is not a public-facing service.
Decide whether you can absorb the reports
Enrollment creates an operational obligation rather than a promise of clean, pre-triaged tickets. Assign maintainers who can reproduce findings, compare them with existing issues, determine exploitability and ship or reject fixes. If your team cannot review high- and critical-severity reports promptly, waiting until that capacity exists is safer than enrolling immediately.
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Test the build under the scanner’s two phases
The Dockerfile is built with network access so it can download dependencies. Once that build finishes, the audit runs without internet access. Any compiler, package manager, test fixture or runtime asset needed during the audit must therefore already be inside the image or available from the built project.
Confirm authority before opening a pull request
The submitter must be the project’s lead maintainer or be authorized by that maintainer. If you maintain the project as an employee and an organization is the lead maintainer, obtain the organization’s permission as well. Anthropic may contact project leadership through other channels to confirm authority, so use an address and identity your project can verify.
Choose a primary security contact who can receive confidential email and coordinate responses. If your project uses an encrypted reporting workflow, prepare the appropriate PGP public key for the configuration.
Enroll through the oss-scanner repository
- Open the repository. Go to https://github.com/anthropics/oss-scanner and start a pull request that adds
projects/<project>/project.yaml. Use a stable, descriptive directory name for the project. - Set the repository URL. Add
repowith the project’s Git URL. A branch may be selected by appending#branch. The project repository does not have to be hosted on GitHub. - Set the main contact. Add
primary_contactwith the email address that should receive scan reports and build notifications. - Point to the build Dockerfile. Add
Dockerfilewith a repository-relative path to the file that installs dependencies and builds the project. Alternatively, place a file namedDockerfilebesideproject.yamlin Anthropic’s repository and omit the field. - Add context when it helps review. Optional fields include
auto_ccs,homepage,threat_model,pgpanddisabled. A threat model can describe project-specific behavior or scanner preferences that are not documented elsewhere. The default threat-model path is.oss-scanner/threat_model.md. - Validate and test locally. Run Anthropic’s
tools/validate.py, build the Dockerfile on your machine and run the project’s test cases inside the resulting container. Fix validation or test failures before asking for review. - Wait for review and the infrastructure build. Anthropic checks maintainer authority and attempts the build on its infrastructure after acceptance. Anthropic says it will email promptly if that build fails so maintainers can correct the configuration.
Minimal project.yaml shape
A configuration can be as small as the required fields below. Replace the example values with your project’s real information:
repo: 'https://git.example.org/example/project#main'
primary_contact: '[email protected]'
Dockerfile: 'build/oss-scanner.Dockerfile'If you place the Dockerfile alongside the configuration in Anthropic’s repository, omit the last line and name that file exactly Dockerfile. Keep paths relative to the relevant repository; an absolute path on your workstation will not work for the infrastructure build.
Optional fields and when to use them
auto_ccscan copy reports to additional authorized addresses. Include only people who are permitted to receive confidential findings.homepagegives reviewers a public project landing page when it differs from the source repository.threat_modelpoints to project-specific security assumptions or scanner guidance. The FAQ’s default is.oss-scanner/threat_model.md.pgpsupplies a public key for encrypted communication when your project has that workflow.disabledcontrols whether scanning is paused. Set it totruein a pull request to pause reports after enrollment.
Make the Docker build survive an offline audit
Prepare every dependency during the networked build
Package indexes, compiler toolchains, vendored modules, test data and generated assets that the audit needs must be installed or copied while the Dockerfile still has network access. Do not rely on a post-build script that downloads a missing component.
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Keep the build reproducible
Use the same base image, language runtime and build commands that maintainers expect to support. Pin versions where practical, avoid interactive prompts and make environment variables explicit. A build that succeeds only because of an unrecorded local cache is not ready for enrollment.
Run tests inside the image
Anthropic recommends that test cases pass inside the container. Running tests only on the host can hide missing shared libraries, tools or data files that will be absent from the scanner’s environment.
Separate build-time network access from audit-time assumptions
The scanner’s post-build phase has no internet access. Check that tests, analysis commands and application startup do not call package registries, remote APIs, metadata services or source-control servers. If a test genuinely requires an external service, provide a local fixture or disable that test explicitly with a documented reason.
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Initial and subsequent scans
The first scan sends a bundle of reports by email. Later scans look for vulnerabilities introduced since the previous scan and for issues that earlier scans missed. There is no guaranteed schedule; the interval can change with pipeline volume and usage.
How to triage a report
- Reproduce the reported behavior using the referenced revision and input.
- Confirm whether the code path is reachable in supported configurations and whether an attacker controls the input.
- Check existing issues, advisories and prior scanner reports for duplicates.
- Reassess severity using your project’s threat model rather than accepting the model’s rating automatically.
- Review any proposed patch for regressions, incomplete validation and compatibility changes.
- Record the decision, remediation or rejection in the project’s normal security process.
Anthropic’s terms describe reports as confidential, provided “as is,” and usable only to identify, assess and fix security vulnerabilities and other bugs in the project. They may be shared with authorized project maintainers. Limit forwarding and storage to people who are allowed to see the material.
Storage and execution safeguards
Anthropic says reports are kept in an isolated, locked-down cloud project accessible only to security staff who need access. Scanning agents run in hardened sandboxes after internet access is disabled. These controls reduce exposure, but they do not remove your responsibility to handle emailed reports securely.
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How much confidence should you place in findings?
Anthropic reported an expert penetration-tester review in 2026 covering 97 critical- and high-severity findings across 48 projects. The testers judged 85 of 97, or 88%, to meet the CVD bar. Of the remaining 12, Anthropic says 11 were real but duplicates of known issues or other findings from the same scan, and one was invalid.
| Figure | Scope and correct interpretation |
|---|---|
| 85 of 97 (88%) | Findings that met the CVD bar in that expert review across 48 projects; not a guaranteed future accuracy rate. |
| 11 of the other 12 | Real findings that duplicated known issues or other findings from the scan. |
| 1 of the other 12 | Judged invalid in that review. |
| CyberGym: under 20% to over 85% | A separate academic vulnerability-finding benchmark cited in Anthropic’s October 8, 2026 launch post; it is not an OSS Scanner result. |
Use these numbers to set expectations about useful leads, not to skip human verification. The service’s own FAQ warns that reports can be wrong, incomplete or mis-severity-rated, and that patches can damage functionality.
A maintainer example, not a promise
Anthropic’s launch material quotes PostgreSQL contributor Noah Misch saying that an unusually high fraction of early OSS Scanner findings uncovered PostgreSQL defects, with several fixes usable nearly as-is and fast-track access helping address issues before a general-availability release. This is one maintainer’s reported experience during early validation, not a guarantee for another project.
Disclosure rules and confidentiality
Unvalidated OSS Scanner findings do not receive a 90-day coordinated-disclosure period. If Anthropic later validates a report manually through its CVD program, it may disclose under that policy beginning 90 days after notifying the maintainer of human validation.
Anthropic says it may consider disclosure periods for some high-severity reports in the future. If that approach changes, it says maintainers would receive notice and an opt-out option. Keep your primary contact current so those notices reach the right people.
Pause scanning or leave the program
Pause without removing the project
Open a pull request that sets disabled: true in the project configuration. This is useful when maintainers need time to resolve a build failure, staff a security response or handle a release freeze.
Opt out completely
Open a pull request removing the project’s entire projects/<project>/ directory. The FAQ says an opted-out project will then receive reports only through Anthropic’s standard CVD process, rather than OSS Scanner scans.
Decision framework before you submit
| Decision axis | Ready to enroll when… | Delay or reconsider when… |
|---|---|---|
| Security importance | You can show critical infrastructure or user-security impact and explain it publicly or in the pull request. | The project’s security relevance is speculative or cannot be distinguished from general popularity. |
| Attack surface | Untrusted inputs reach meaningful code paths and you can describe those boundaries. | The project has no plausible attacker-controlled path in supported use. |
| Maintainer capacity | Named people can reproduce, triage and fix high- and critical-severity reports. | Reports would sit unreviewed or be merged without verification. |
| Build quality | The container builds deterministically and tests pass before the offline phase. | Builds depend on a workstation cache, live services or undocumented network calls. |
| Information handling | Contacts, authorized recipients and optional encryption are settled. | You cannot control who receives confidential findings. |
| Reversibility | You have an owner for pausing or removing the configuration if circumstances change. | No maintainer can monitor the enrollment pull request or update it. |
Common enrollment problems and fixes
The pull request is rejected on eligibility grounds
Acceptance is case by case and has no published threshold. Strengthen the explanation of infrastructure impact, remote attack exposure and downstream use with specific, verifiable information. Do not inflate user counts or claim a security role the project does not have.
Anthropic cannot verify the submitter
Ask the lead maintainer or lead organization to authorize the request explicitly and ensure the primary contact can confirm that relationship. An employee’s personal authority is not automatically the organization’s authority.
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Check spelling and indentation, confirm that repo is a valid Git URL, make sure primary_contact is a reachable address and verify that the Dockerfile path is relative to the expected repository. If using the colocated-file alternative, name the file exactly Dockerfile and remove the field from YAML.
The infrastructure build fails after acceptance
Reproduce the build from a clean environment, inspect missing packages and rerun all tests inside the container. Pay special attention to commands that silently download dependencies or rely on host credentials. Anthropic says it will email when its build fails so maintainers can correct the configuration.
Reports appear duplicated or overstated
Compare the finding with existing issues and other reports, reproduce it at the cited revision and reassess exploitability and severity. The published review itself found real duplicates and one invalid finding, so duplication or correction is an expected part of triage rather than evidence that every report is unusable.
You need a temporary break from reports
Set disabled: true in a pull request instead of deleting the project directory. Remove the directory only when you want to leave OSS Scanner and return to the standard CVD channel.
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Quick Recap
Practical submission checklist
- Lead-maintainer or organizational authorization is documented.
- The project’s infrastructure and user-security impact is clearly explained.
- Remote attack paths and downstream users or dependents are identified.
- A monitored primary contact and any authorized CC recipients are selected.
repo,primary_contactandDockerfileare present or the colocated Dockerfile alternative is used correctly.- Optional threat-model, homepage, PGP and notification settings are intentional.
tools/validate.pypasses.- The Dockerfile builds from a clean environment, and tests pass inside the image.
- The offline audit requires no internet connection or unprepared external service.
- Maintainers have a process for reproducing, prioritizing and fixing model-generated findings.
- The team understands confidentiality, permitted use and the absence of a guaranteed scan schedule.
- Someone can submit a pause or opt-out pull request if capacity or build conditions change.
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