CriticalVulnerability
CVE-2020-15206: TensorFlow SavedModel loading segfault and data corruption from altered keys
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2020-15206
- Published
- Record updated
- Affected
- tensorflow < 1.15.4, fixed in 1.15.4, released September 24, 2020, 1 day before disclosure
- tensorflow >= 2.0.0, < 2.0.3, fixed in 2.0.3, released September 24, 2020, 1 day before disclosure
- tensorflow >= 2.1.0, < 2.1.2, fixed in 2.1.2, released September 24, 2020, 1 day before disclosure
- and 12 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 1.0%
Summary
CVE-2020-15206 affects TensorFlow versions before 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1. Altering the SavedModel protocol buffer and renaming required keys causes segfaults and data corruption while the model loads, which can cause a denial of service in products using tensorflow-serving or other inference-as-a-service installments.
Mitigation
The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6 and released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
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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