Local model substitution via predictable cache path
Published Aug 26, 2026 · Updated Aug 27, 2026
Insecure cache handling in Spring AI 1.0.0 through 1.0.9, 1.1.0 through 1.1.8, and 2.0.0 allows local users to substitute an ONNX model. The transformer model cache uses a deterministic path that another account can pre-create and populate before Spring AI loads the cached ONNX artifact. Exploitation requires access to a multi-user host and causes attacker-controlled model content to be loaded, with no reported confidentiality or availability impact.
Summary
What happened
Insecure cache handling in Spring AI 1.0.0 through 1.0.9, 1.1.0 through 1.1.8, and 2.0.0 allows local users to substitute an ONNX model. The transformer model cache uses a deterministic path that another account can pre-create and populate before Spring AI loads the cached ONNX artifact. Exploitation requires access to a multi-user host and causes attacker-controlled model content to be loaded, with no reported confidentiality or availability impact.
The record
- CVE
- CVE-2026-47852
- Published
- Aug 26, 2026
- Updated
- Aug 27, 2026
- Vendor
- Spring
- Product
- Spring AI
- Classifications
- CWE-377, T1036.005
- Attack vector
- local
- Privileges
- authenticated
Timeline
How it unfolded
- Aug 26, 2026CVE publishedPublication date reported by the CVE source.
- Aug 27, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=1.0.0 <=1.0.9
- Affected versionversion=1.1.0 <=1.1.8
- Affected versionversion=2.0.0
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
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Weakness, pattern, technique
Public exploit references
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Technologies
Your stack
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Your stack
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