CVE Catalog

CVE-2026-12261

MediumCVSS 5.3
Published: Updated: Translated: NVD NIST

Exploitation Probability (EPSS)

Low risk
0.19%

9th percentile - higher than 9% of all known CVEs

Summary

A vulnerability in `nltk.downloader` in nltk/nltk versions <= 3.9.4 allows for cross-package resource and model poisoning. The downloader extracts package archives into shared namespaces such as `corpora/` and `taggers/` instead of package-isolated roots, and validates package integrity only after the archive has been written and extracted. This design flaw enables one package to overwrite another package's trusted resources within the same namespace, making the changes immediately active through ordinary NLTK APIs. This issue persists across fresh interpreter restarts and can affect downstream workflows, including machine learning pipelines and reproducibility-sensitive environments.

Risk Assessment

An attacker can replace NLTK resources, potentially leading to incorrect results in natural language processing applications, including ML models. This can compromise data integrity and trust in systems.

Recommendation

Update NLTK to a version newer than 3.9.4. Avoid downloading packages from untrusted sources and consider using isolated environments.

Other vulnerabilities in NLTK

See all
Original NVD description (English source)

A vulnerability in `nltk.downloader` in nltk/nltk versions <= 3.9.4 allows for cross-package resource and model poisoning. The downloader extracts package archives into shared namespaces such as `corpora/` and `taggers/` instead of package-isolated roots, and validates package integrity only after the archive has been written and extracted. This design flaw enables one package to overwrite another package's trusted resources within the same namespace, making the changes immediately active through ordinary NLTK APIs. This issue persists across fresh interpreter restarts and can affect downstream workflows, including machine learning pipelines and reproducibility-sensitive environments.

Vulnerability data from NVD (NIST) · CISA KEV · EPSS