HighVulnerability

CVE-2022-23594: Tensorflow TFG dialect crash via modified SavedModel on disk

Source: NVD(opens in a new tab)
Identifier: CVE-2022-23594
Published: February 4, 2022
Record updated: October 9, 2026

Affected: tensorflow = 2.7.0
tensorflow-cpu = 2.7.0
tensorflow-gpu = 2.7.0
Fixed in: 2.7.1
tensorflow 2.7.1 released February 2, 2022, 3 days before disclosure
tensorflow-cpu 2.7.1 released February 2, 2022, 3 days before disclosure
tensorflow-gpu 2.7.1 released February 2, 2022, 3 days before disclosure
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.1%

Summary

TensorFlow's TFG dialect (MLIR) assumes certain properties of an incoming `GraphDef` before converting it to the MLIR-based dialect. An attacker who alters the `SavedModel` format on disk to break these assumptions can crash the Python interpreter when the `GraphDef` is converted, and under certain scenarios heap out-of-bounds reads and writes are possible. The issues were found by fuzzing, and the advisory notes more weaknesses may exist and will be patched as found.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Details

Scores and exploitation

CVSS score: 8.8(high)
Patch available: Yes
EPSS: 0.1%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 3, 2026.

Weaknesses and techniques

Weakness (CWE): CWE-125
CWE-125
CWE-787
Attack pattern (CAPEC): CAPEC-100
CAPEC-540

Affected

Packages: tensorflow@= 2.7.0 (fixed: 2.7.1)
tensorflow-cpu@= 2.7.0 (fixed: 2.7.1)
tensorflow-gpu@= 2.7.0 (fixed: 2.7.1)
Vendors: Google

Classification

Attack type: Other
Attack sophistication: Advanced
AI component targeted: Framework
Impact: Confidentiality,
Integrity,
Availability
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-2022-23594

First tracked: February 15, 2026 at 08:40 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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