Arbitrary Argument Injection Affecting nltk package, versions [,3.10.3)
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-19313902
- published27 Aug 2026
- disclosed25 Aug 2026
- creditarpitjain099
Introduced: 25 Aug 2026
NewCVE-2026-79675 (opens in a new tab)How to fix?
Upgrade nltk to version 3.10.3 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 Arbitrary Argument Injection through the per-call options handling in the java() function in nltk/internals.py. An attacker can achieve arbitrary code execution by supplying crafted java_options containing malicious JVM flags to GenericStanfordParser, StanfordTagger, StanfordTokenizer, or StanfordSegmenter; the options are passed to the Java process without validation, allowing native or Java agents and other code-loading mechanisms to execute. This affects deployments where wrapper options are derived from untrusted user input, configuration, or environment data.