CyberRota Analysis
AI-GeneratedNLTK versions prior to 3.10.0 are vulnerable to an unsafe pickle deserialization flaw in the TransitionParser.parse() method, allowing attackers to execute arbitrary Python code through crafted model files. This critical vulnerability poses a significant risk to applications using NLTK for natural language processing, as it can lead to unauthorized access and execution of malicious code with the privileges of the user. Organizations utilizing NLTK should prioritize upgrading to version 3.10.0 or later to mitigate this risk.
Public Exploit Signal
A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.
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Original NVD Description
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 deserialization through WarningUnpickler, which does not override find_class() and therefore permits arbitrary class resolution. When an application loads an attacker-crafted model file, embedded pickle gadget chains execute arbitrary Python code with the privileges of the user running the application. NLTK provides a RestrictedUnpickler for safe deserialization, but it is not used by production code paths. Fixed in 3.10.0.
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