Unsafe Dependency Resolution Affecting nltk package, versions [,3.9.3)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-PYTHON-NLTK-15763329
- published25 Mar 2026
- disclosed5 Mar 2026
- creditUnknown
Introduced: 5 Mar 2026
CVE-2026-0848 (opens in a new tab)How to fix?
Upgrade nltk to version 3.9.3 or higher.
Overview
nltk is a Natural Language Toolkit (NLTK) is a Python package for natural language processing.
Affected versions of this package are vulnerable to Unsafe Dependency Resolution due to lack of verification or sandboxing in the StanfordSegmenter module, when unvalidated Java Archive (JAR) files are dynamically loaded. An attacker can execute arbitrary Java bytecode by supplying or replacing a JAR file, potentially through model poisoning, Man-in-the-Middle (MITM) attacks, or dependency poisoning.