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Garak

Open-source LLM vulnerability scanner for probing model behavior, prompt attack surfaces, and safety failures.

by NVIDIA·added 2026-04-27·
HarnessCLI
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

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Brand
Garak
Brand domain
github.com
Author
NVIDIA
Claim status
unclaimed
Last verified
2026-04-27

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Required checks are still incomplete. Finish source and safety verification before adopting this resource.

Compare context
Selected

0

Current score

58

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Complete

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    Registry metadata indicates a reviewed listing.

    Done

Safety and privacy checks

Required checks missing

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    No safety notes listed.

    Pending
  • Privacy notes presentRequired

    No privacy notes listed.

    Pending
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

Copy & paste

Copy-ready — paste the snippet to get started.

Install command

Not provided

Config snippet

Not provided

Copy snippet

Provided

Prerequisites

None

Platforms

1 listed

Install type

Copy & paste

Adoption plan

Balanced adoption plan

Current risk score 44/100. Use staged verification before broader rollout.

Risk 44
Adoption blockers
  • Safety notes are missing.
  • Privacy notes are missing.

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    Listing has review metadata.

    Done
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes missing; review source code paths before execution.

    Pending
  • Review privacy notesRequired

    Privacy notes missing; inspect network/data behavior manually.

    Pending
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Safety notes. Risk score 36.

Risk 36

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Present

Review metadata is present.

Required in this preset

Safety notes

Missing

Safety notes are missing.

Required in this preset

Privacy notes

Missing

Privacy notes are missing.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Safety notes

Decision timeline

Decision timeline · balanced

Blocking gaps: Review safety notes. Risk 32.

Risk 32

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is available.

Done

verify

Review safety notesRequired

Safety notes are missing.

Pending

verify

Review privacy notes

Privacy notes are missing.

Pending

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Review safety notes

Schema details

Install type
copy
Troubleshooting
No
Source repository stats
Scope
Source repo
Tool listing metadata
Pricing
open-source
Disclosure
editorial
Application category
SecurityApplication
Operating system
macOS, Windows, Linux
Full copyable content
## Editorial notes

Garak is useful for security teams that need repeatable checks for model, prompt, and application-level LLM risks.

## Disclosure

Editorial listing. No paid placement or affiliate link is used.

About this resource

Editorial notes

Garak is useful for security teams that need repeatable checks for model, prompt, and application-level LLM risks.

Disclosure

Editorial listing. No paid placement or affiliate link is used.

Source citations

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Listed on HeyClaude
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How it compares

Garak side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

1 trust signal differ across this comparison (Submitter).

Field

Open-source LLM vulnerability scanner for probing model behavior, prompt attack surfaces, and safety failures.

Open dossier

AI testing platform for evaluating, scanning, and monitoring machine learning and LLM application quality.

Open dossier

Apache-2.0 vulnerability scanner from Anchore for container images, filesystems, archives, SBOMs, PURLs, and CPEs, with risk scoring, VEX filtering, and CI-friendly output.

Open dossier

Open-source prompt testing and red-teaming framework for LLM outputs, regressions, evaluations, and security checks.

Open dossier
Next steps
Trust
Review statusReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSource-backedSource-backedSource-backedSource-backed
SubmitterDiffersoktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety · Privacy · Safety · Privacy · Safety Privacy Safety · Privacy
BrandGiskard logoGiskardGrype logoGrypePromptfoo logoPromptfoo
Categorytoolstoolstoolstools
Sourcesource-backedsource-backedsource-backedsource-backed
AuthorNVIDIAGiskardAnchorePromptfoo
Added2026-04-272026-04-272026-06-042026-04-27
Platforms
CLI
CLI
CLI
CLI
Source repo
Safety notes— missing— missingGrype parses container images, archives, filesystems, SBOMs, package identifiers, and vulnerability data; run it from trusted automation with bounded filesystem access and resource limits for untrusted targets. The install script and binary update paths should be verified before use in production CI; pin versions and checksums where reproducible builds or regulated environments require it. Scanning private images can use registry credentials, client certificates, tokens, Docker or Podman daemon access, and local image metadata, so CI jobs should scope credentials and avoid broad registry permissions. Vulnerability findings are advisory and depend on package detection, vulnerability database freshness, distro context, CPE matching, fix-state metadata, EPSS, KEV, and risk-scoring inputs; high-impact findings still need human triage. Fail-on thresholds, only-fixed filters, only-notfixed filters, ignore rules, VEX documents, and suppressed-result settings can change pipeline outcomes, so policy changes should be reviewed like security code. The configuration reference includes options for insecure registry TLS behavior and HTTP registry access; these should be avoided outside tightly controlled test environments. Automatic database updates and application update checks make outbound network requests unless disabled or pinned by policy. Large images, archives, monorepos, or SBOMs can produce expensive scans and large JSON/SARIF artifacts; set timeouts, artifact limits, cache policy, and retention rules in CI.— missing
Privacy notes— missing— missingThe Grype getting-started docs say Grype runs locally and does not send scan data to external services; it needs internet access for downloading container images and the vulnerability database. Pulling images from remote or private registries can disclose image names, tags, digests, registry hostnames, platform requests, authentication attempts, and network metadata to registry infrastructure. Scan output can reveal package names, package versions, ecosystems, distro names, image identifiers, file metadata, file digests, executable metadata, vulnerability identifiers, fix versions, EPSS, KEV, risk scores, and suppressed findings. JSON, SARIF, CycloneDX, and template outputs are useful for automation but can leak dependency inventory and security posture when uploaded to CI logs, code scanning tools, tickets, dashboards, or long-retention artifacts. Configuration files and environment variables can include registry usernames, passwords, tokens, client certificates, client keys, CA certificates, cache paths, update URLs, ignore rules, VEX documents, and output paths. SBOM inputs may contain full dependency inventories and build metadata; treat Grype reports and source SBOMs as security-sensitive artifacts.Promptfoo sends your prompts and test inputs to the model providers you configure to run evals and red-team probes; review which providers are used and keep secrets out of test cases.
Prerequisites— none listed— none listed
  • Grype installed from an official or trusted package path such as the Anchore install script, Homebrew, Windows package manager, Docker image, or GitHub release.
  • Target selection for container images, registries, Docker, Podman, containerd, OCI archives, Docker archives, Singularity images, directories, files, SBOMs, Package URLs, or CPEs.
  • Vulnerability database update policy, cache directory, offline scanning expectations, database age policy, and network allowance for database downloads.
  • CI policy for output formats, JSON/SARIF artifacts, fail-on severity thresholds, fix-state filters, VEX documents, ignore rules, and suppressed-result review.
— none listed
Install
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