MediumVulnerability
CVE-2020-15198: Tensorflow SparseCountSparseOutput out-of-bounds read via unvalidated shape
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2020-15198
- Published
- Record updated
- Affected
- tensorflow = 2.3.0
- tensorflow-cpu = 2.3.0
- tensorflow-gpu = 2.3.0
- Fixed in
- 2.3.1
- tensorflow 2.3.1 released September 24, 2020, 1 day before disclosure
- tensorflow-cpu 2.3.1 released September 24, 2020, 1 day before disclosure
- tensorflow-gpu 2.3.1 released September 24, 2020, 1 day before disclosure
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.5%
Summary
CVE-2020-15198 affects TensorFlow before version 2.3.1. The `SparseCountSparseOutput` implementation does not check that the `indices` and `values` tensors have matching shapes, and because both are read in parallel, a mismatch can cause accesses outside the bounds of heap-allocated buffers.
Mitigation
Fixed in TensorFlow version 2.3.1, patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02.
Affected packages in the Exposure Registry
Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.
- tensorflowPyPINo LLM dependency detected · 26 tracked dependents
- tensorflow-gpuPyPINo LLM dependency detected · 2 tracked dependents
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