CVE-2020-28975: Libsvm svm_predict_values denial of service via crafted SVM model

Summary

CVE-2020-28975 affects svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products. An attacker who supplies a crafted SVM model, introduced via pickle, json, or another model persistence standard, with a large value in the _n_support array can cause a denial of service through a segmentation fault. The scikit-learn vendor states the behavior can only occur if an application violates the library's API by changing a private attribute, and the record is marked Disputed.

Mitigation

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

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.

• scikit-learnPyPINo LLM dependency detected · 74 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