HighVulnerability

CVE-2022-29216: TensorFlow saved_model_cli code injection through eval of arguments

Source: NVD(opens in a new tab)
Identifier: CVE-2022-29216
Published: May 21, 2022
Record updated: October 9, 2026

Affected: tensorflow < 2.6.4
tensorflow-cpu < 2.6.4
tensorflow-gpu < 2.6.4
and 6 more
Fixed in: 2.6.4
tensorflow 2.6.4 released May 16, 2022, 5 days before disclosure
tensorflow-cpu 2.6.4 released May 16, 2022, 5 days before disclosure
tensorflow-gpu 2.6.4 released May 16, 2022, 5 days before disclosure
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.5%

Summary

TensorFlow versions before 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a code injection flaw in the `saved_model_cli` tool that can be used to open a reverse shell. The code path existed for compatibility with test cases that pass numpy expressions as arguments, and the source notes the tool is always run manually, so the impact is described as not severe.

Mitigation

The maintainers removed the `safe=False` argument so all parsing is done without calling `eval`. The patch is available in versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4.

Details

Scores and exploitation

CVSS score: 7.8(high)
Patch available: Yes
EPSS: 0.5%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 4, 2026.

Weaknesses and techniques

Weakness (CWE): CWE-94
Attack pattern (CAPEC): CAPEC-242

Affected

Packages: tensorflow@< 2.6.4 (fixed: 2.6.4)
tensorflow-cpu@< 2.6.4 (fixed: 2.6.4)
tensorflow-gpu@< 2.6.4 (fixed: 2.6.4)
tensorflow@>= 2.7.0, < 2.7.2 (fixed: 2.7.2)
tensorflow@>= 2.8.0, < 2.8.1 (fixed: 2.8.1)
tensorflow-cpu@>= 2.7.0, < 2.7.2 (fixed: 2.7.2)
tensorflow-cpu@>= 2.8.0, < 2.8.1 (fixed: 2.8.1)
tensorflow-gpu@>= 2.7.0, < 2.7.2 (fixed: 2.7.2)
tensorflow-gpu@>= 2.8.0, < 2.8.1 (fixed: 2.8.1)
Vendors: Google

Classification

Attack type: Other
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Integrity,
Confidentiality
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2022-29216

First tracked: February 15, 2026 at 08:41 PM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 95% (self-assessed)

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

Summary

Mitigation

Affected packages in the Exposure Registry

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