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OpenAdvisories

Package · Debian

nltk

53 known vulnerabilities.

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  • Critical 9.8

    NLTK before 3.10.3 JVM Argument Injection via Per-Call Options

    NLTK before 3.10.3 fails to validate JVM options passed through the per-call options parameter in the java() function, allowing attackers to inject dangerous JVM flags. Attackers can supply malicious options like -agentpath, -javaagent, or @argfile to Stanfor…

  • Critical 9.8
    CVE-2026-79657 Public exploit

    NLTK before 3.10.3 Remote Code Execution via Unsafe Pickle Deserialization

    NLTK versions before 3.10.3 contain a remote code execution vulnerability in allowlisted pickle loaders that trust entire module namespaces instead of specific safe callables. Attackers can craft malicious pickle payloads invoking dangerous in-namespace funct…

  • Critical 9.6

    NLTK before 3.10.0 Remote Code Execution via Unsafe Pickle Deserialization

    NLTK before 3.10.0 (affected versions <=3.9.4) contains an unsafe pickle deserialization vulnerability in the TransitionParser.parse() method (nltk/parse/transitionparser.py). The method calls pickle_load() with the default restricted=False, routing deseriali…

  • Critical 10.0
    CVE-2026-0848 Public exploit

    Arbitrary Code Execution in NLTK StanfordSegmenter via Untrusted JAR Loading

    NLTK versions <=3.9.2 are vulnerable to arbitrary code execution due to improper input validation in the StanfordSegmenter module. The module dynamically loads external Java .jar files without verification or sandboxing. An attacker can supply or replace the …

  • Critical 10.0

    Zip Slip Vulnerability in nltk/nltk Leading to Remote Code Execution

    A critical vulnerability exists in the NLTK downloader component of nltk/nltk, affecting all versions. The _unzip_iter function in nltk/downloader.py uses zipfile.extractall() without performing path validation or security checks. This allows attackers to cra…

  • Critical 9.8

    ntlk unsafe deserialization vulnerability

    NLTK through 3.8.1 allows remote code execution if untrusted packages have pickled Python code, and the integrated data package download functionality is used. This affects, for example, averaged_perceptron_tagger and punkt.