Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
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 applicationsUpgrade nltk to version 3.10.0 or higher.
nltk is a Natural Language Toolkit (NLTK) is a Python package for natural language processing.
Affected versions of this package are vulnerable to External Control of File Name or Path via path handling in FramenetCorpusReader and NKJPCorpusReader. An attacker can read and parse arbitrary XML files outside the configured corpus root by supplying crafted selectors or poisoning index state. Attacker-controlled values passed through methods such as frame_by_name(), doc(), lu(), and header() can traverse outside the intended directory and access XML files readable by the application.