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CVSS: 9.8EPSS: 0%CPEs: -EXPL: 0

Successful exploitation could lead to unauthorized access to sensitive files, information disclosure, and potentially a denial of service (DoS) condition by including numerous large or resource-intensive files. • https://github.com/parisneo/lollms/commit/f4424cfc3d6dfb3ad5ac17dd46801efe784933e9 https://huntr.com/bounties/fd8f50c8-17f0-40be-a2c6-bb8d80f7c409 • CWE-29: Path Traversal: '\..\filename' •

CVSS: 8.4EPSS: 0%CPEs: -EXPL: 0

This flaw leads to arbitrary file read and overwrite capabilities in specified directories without limitations, posing a significant risk of sensitive information disclosure and unauthorized file manipulation. • https://github.com/parisneo/lollms-webui/commit/1e17df01e01d4d33599db2afaafe91d90b6f0189 https://huntr.com/bounties/e0822362-033a-4a71-b1dc-d803f03bd427 • CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') •

CVSS: 4.7EPSS: 0%CPEs: -EXPL: 0

A sensitive data leakage vulnerability was identified in scikit-learn's TfidfVectorizer, specifically in versions up to and including 1.4.1.post1, which was fixed in version 1.5.0. The vulnerability arises from the unexpected storage of all tokens present in the training data within the `stop_words_` attribute, rather than only storing the subset of tokens required for the TF-IDF technique to function. This behavior leads to the potential leakage of sensitive information, as the `stop_words_` attribute could contain tokens that were meant to be discarded and not stored, such as passwords or keys. The impact of this vulnerability varies based on the nature of the data being processed by the vectorizer. • https://github.com/scikit-learn/scikit-learn/commit/70ca21f106b603b611da73012c9ade7cd8e438b8 https://huntr.com/bounties/14bc0917-a85b-4106-a170-d09d5191517c • CWE-921: Storage of Sensitive Data in a Mechanism without Access Control •

CVSS: 9.4EPSS: 0%CPEs: -EXPL: 0

This flaw enables direct arbitrary file uploads, leakage of `personal_data`, and overwriting of configurations in `lollms-webui`->`configs` by exploiting the same named directory in `personal_data`. ... Successful exploitation could lead to sensitive information disclosure, unauthorized file uploads, and potentially remote code execution by overwriting critical configuration files. • https://github.com/parisneo/lollms-webui/commit/aeba79f3ea934331b8ecd625a58bae6e4f7e7d3f https://huntr.com/bounties/39e17897-0e92-4473-91c7-f728322191aa • CWE-29: Path Traversal: '\..\filename' •

CVSS: 5.3EPSS: 0%CPEs: 1EXPL: 0

The Podlove Web Player plugin for WordPress is vulnerable to unauthorized access of data due to a missing capability check on the /shortcode REST API endpoint in all versions up to, and including, 5.7.3. • https://patchstack.com/database/vulnerability/podlove-web-player/wordpress-podlove-web-player-plugin-5-7-3-sensitive-data-exposure-vulnerability? • CWE-200: Exposure of Sensitive Information to an Unauthorized Actor CWE-862: Missing Authorization •