A AegiFlow
HIGHCVSS 7.8EPSS 0.2%

CVE-2026-12252

CVE-2026-12252 updated by NVD

Published
2026-07-04
Modified
2026-10-27
EPSS percentile
13%
Sources
github-advisory, nvd

Summary

In nltk/nltk versions 3.9.3 and earlier, five Stanford interface classes (StanfordPOSTagger, StanfordNERTagger, StanfordParser, StanfordDependencyParser, and StanfordNeuralDependencyParser) are vulnerable to untrusted JAR code execution. These classes accept user-controllable JAR paths and execute them via the `java()` function, which invokes `subprocess.Popen()` without integrity verification. This vulnerability is identical to CVE-2026-0848, which was fixed for StanfordSegmenter by adding SHA256 verification. However, the fix was not applied to these additional classes, leaving them susceptible to arbitrary code execution when loading untrusted JAR files.

Affected packages

EcosystemPackageAffected versionsFixed versions
PyPInltk—3.9.4

Remediation: Upgrade to 3.9.4 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

Includes data from the National Vulnerability Database (NIST). NVD data is in the public domain; this page is not endorsed by NIST.

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EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.