CVE-2022-36018: TensorFlow denial of service through RaggedTensorToVariant with malformed splits

Summary

TensorFlow's `RaggedTensorToVariant` crashes on a `CHECK` failure when `rt_nested_splits` contains tensors whose ranks are not one. The flaw can be triggered to cause a denial of service. The affected release line is identified in the source by its version numbers.

Mitigation

Patched in GitHub commit 88f93dfe691563baa4ae1e80ccde2d5c7a143821. The fix will be included in TensorFlow 2.10.0 and cherry-picked to TensorFlow 2.9.1, 2.8.1 and 2.7.2.

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

Related items

• LowCloakFEM: Agentic FEM Code Generation for Red-Teaming Computational Resource ExhaustionSimilar attack · Arxiv (cs.CR + cs.CL + cs.LG)
• MediumThe Rise of LLMJacking: How Threat Actors Monetize Compromised Cloud and Model ResourcesSimilar attack · Google Threat Intelligence
• InfoThe Blind Spots of Detection: Adversarial Perturbation Attacks against Watchdogs in Distributed LLM InferenceSimilar attack · Arxiv (cs.CR + cs.CL + cs.LG)
• HighCVE-2026-118761: Kubeflow Pipelines decompression bomb in pipeline archive uploadSimilar attack · NVD/CVE Database
• LowOpenCode User Hit with Hostile Backlash After Reporting Free AI LoopholeSimilar attack · Socket Blog