CVE-2026-40979
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedIn Spring AI, having access to a shared environment can expose the ONNX model used by the application. Affected versions: Spring AI: 1.0.0 - 1.0.5 (fixed in 1.0.6), 1.1.0 - 1.1.4 (fixed in 1.1.5)
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · moderate confidenceSpring AI stores ONNX model files in a manner that allows unauthorized access in shared environments. An attacker with access to the shared environment (e.g., co-located hosting, container escape, or compromised container) can read the ONNX model files, potentially exposing proprietary AI models or sensitive data embedded in them.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.
NVD · CPE data>= 1.0.0, < 1.0.6>= 1.1.0, < 1.1.5CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Local
- Complexity
- Low
- Privileges
- Low
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- Low
- Integrity
- High
- Availability
- None
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:H/A:N
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
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Determine installed Spring AI versionInspect your project's dependency management file (pom.xml, build.gradle, or similar) or check the spring-ai-core library JAR manifest for the version numberAffected if The version is 1.0.0 through 1.0.5, or 1.1.0 through 1.1.4 (any version in the affected ranges)
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Identify ONNX model usageSearch your project for ONNX-related dependencies (search for 'onnx' or 'ort' in pom.xml/build.gradle) and runtime configuration that loads ONNX models via ONNXRuntimeModel or similar classesAffected if Your project includes ONNX model dependencies and loads ONNX models at runtime
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Locate ONNX model file storageCheck your application configuration for model storage paths (look for properties like spring.ai.model.options.path, onnx.model.path, or similar ONNX-related configuration), and examine the runtime directory where models are downloaded or storedAffected if Model files are stored in a directory accessible to other tenants or containers in the same shared environment
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Verify file system permissions on model storageRun ls -la on the identified ONNX model directory to inspect owner, group, and world-readable permissionsAffected if Model files have overly permissive access (world-readable, or accessible by other users/groups in the shared environment)
You are affected if your Spring AI version falls within the affected ranges AND you use ONNX models stored in an unprotected location accessible to other users or containers in the shared environment.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
dbcve · scoped1.0.61.1.5
Upgrade Spring AI to version 1.0.6 or 1.1.5. Additionally, ensure ONNX model files are stored in protected directories with appropriate file system permissions, and consider encrypting models at rest if the deployment environment is shared or multi-tenant.
Spring AI 1.0.6 or 1.1.5 (or latest stable release)
- Identify the current Spring AI version in use by checking pom.xml or build.gradle dependencies
- For applications on 1.0.x branch: upgrade Spring AI dependency to version 1.0.6 or later
- For applications on 1.1.x branch: upgrade Spring AI dependency to version 1.1.5 or later
- Alternatively, upgrade to the latest stable Spring AI release that includes the fix
- After upgrading, rebuild and redeploy the application
- Review Spring AI release notes for the target version to check for any required configuration changes
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation2.0 h
- Implementation2.0 h
- Testing1.0 h
- Review / QA1.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2026-40979 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2026-40979 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- Version or environment caveats, and links to real fixes
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