D-Tale is a visualizer for pandas data structures. Versions prior to 3.20.0 are vulnerable to Remote Code Execution through the /save-column-filter endpoint. Users hosting D-Tale publicly can be vulnerable to remote code execution allowing attackers to run malicious code on the server. This issue has been fixed in version 3.20.0.

Open Access Management (OpenAM) is an access management solution. In versions prior to 16.0.0, if the "claims_parameter_supported" parameter is activated, it is possible, thanks to the "oidc-claims-extension.groovy" script, to inject the value of one's choice into a claim contained in the id_token or in the user_info. In the request of an authorize function, a claims parameter containing a JSON file can be injected. This JSON file allows attackers to customize the claims returned by the "id_token" and "user_info" files. This allows for a very wide range of vulnerabilities depending on how clients use claims. For example, if some clients rely on an email field to identify a user, an attacker can choose the email address they want, and therefore assume any identity they choose. Version 16.0.0 fixes the issue.

ACON is a widely-used library of tools for machine learning that focuses on adaptive correlation optimization. A potential vulnerability has been identified in the input validation process, which could lead to arbitrary code execution if exploited. This issue could allow an attacker to submit malicious input data, bypassing input validation, resulting in remote code execution in certain machine learning applications using the ACON library. All users utilizing ACON’s input-handling functions are potentially at risk. Specifically, machine learning models or applications that ingest user-generated data without proper sanitization are the most vulnerable. Users running ACON on production servers are at heightened risk, as the vulnerability could be exploited remotely. As of time of publication, it is unclear whether a fix is available.