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bdu:2024-07433

BREW-scipy-CVE-2023-25399

Affected: Homebrew: scipy

A refcounting issue which leads to potential memory leak was discovered in scipy commit 8627df31ab in Py_FindObjects() function. Note: This is disputed as a bug and not a vulnerability. SciPy is not designed to be exposed to untrusted users or data directly.

certfr-2024-avi-0670 — De multiples vulnérabilités ont été découvertes dans Splunk Machine Learning Toolkit. Elles permettent à un attaquant d…

certfr-2024-avi-0670

EUVD-2026-8207

fkie_cve-2023-25399

Withdrawn: GHSA-9jx5-6pgf-crrp — Withdrawn: scipy memory leak vulnerability

Withdrawn by the publisher.

Affected: PyPI: scipy

## Withdrawn Advisory

This advisory has been withdrawn because it has been found to not be an issue. Please see the issue [here](https://github.com/scipy/scipy/issues/16235#issuecomment-1625361328) for more information.

## Original Description

A refcounting issue which leads to potential memory leak was discovered in scipy commit 8627df31ab in `Py_FindObjects()` function.

gsd-2023-25399

OESA-2023-1491 — scipy security update

Affected: openEuler:20.03-LTS-SP1: scipy, openEuler:20.03-LTS-SP3: scipy, openEuler:22.03-LTS: scipy, openEuler:22.03-LTS-SP1: scipy, openEuler:22.03-LTS-SP2: scipy

SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more. Security Fix(es): A refcounting issue which leads to potential memory leak was discovered in scipy commit 8627df31ab in Py_FindObjects() function.(CVE-2023-25399)

PYSEC-2023-102

Affected: PyPI: scipy

A refcounting issue which leads to potential memory leak was discovered in scipy commit 8627df31ab in Py_FindObjects() function.

SUSE-SU-2023:2970-1 — Security update for python-scipy

Security update for python-scipy

UBUNTU-CVE-2023-25399

Affected: Ubuntu:Pro:22.04:LTS: scipy

WID-SEC-W-2024-0423 — IBM Business Automation Workflow: Mehrere Schwachstellen

Ein entfernter Angreifer kann mehrere Schwachstellen in IBM Business Automation Workflow ausnutzen, um einen Denial of Service Angriff durchzuführen, Sicherheitsvorkehrungen zu umgehen oder Informationen offenzulegen.