{"answers":{"affected":"3 open source packages ship an affected version, including scipy. It affects 1 product.","exploited":"There is no known exploitation of CVE-2023-25399 in the wild and no public exploit code.","fix":"Upgrade scipy to 1.10.0 or later.","what":"CVE-2023-25399 is a medium-severity memory corruption vulnerability in n/a, published on 5 Jul 2023. It can only be exploited from the same machine or local network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2023-25399 and fix it if it is affected.\n\nWhat it is: CVE-2023-25399 is a medium-severity memory corruption vulnerability in n/a, published on 5 Jul 2023. It can only be exploited from the same machine or local network, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2023-25399 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- scipy (PyPI): affected all versions; fixed in 1.10.0\n- scipy (PyPI): affected all versions; fixed in 1.10.0\n- scipy (PyPI): affected all versions; fixed in 1.10.0\n\nTask:\n1. Search the dependency manifests and lockfiles (for example package.json, package-lock.json, requirements.txt, poetry.lock, uv.lock, pom.xml, build.gradle, go.mod, Cargo.lock, Gemfile.lock) and any Dockerfiles for the affected packages, including transitive dependencies.\n2. If an affected version is in use, upgrade it to the fixed version for its release line with the project's package manager, so the lockfile is regenerated. Prefer the smallest upgrade that fixes it.\n3. If there is no fix, or the upgrade would break the build, do not guess: explain the risk and the safest workaround instead.\n4. Run the tests and summarise what changed and why.\n5. If nothing in the project is affected, say so and change nothing.\n\nReference: https://insights.sbomify.com/CVE-2023-25399/ (Markdown: https://insights.sbomify.com/CVE-2023-25399/index.md)","id":"CVE-2023-25399","markdown":"https://insights.sbomify.com/CVE-2023-25399/index.md","name":"CVE-2023-25399","record":{"aliases":["DEBIAN-CVE-2023-25399","GHSA-9jx5-6pgf-crrp","MGASA-2024-0078","OESA-2023-1491","PYSEC-2023-102","UBUNTU-CVE-2023-25399"],"analysis":{"component_type":"library","fix_type":"patch","impacts":["denial_of_service"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"Python scientific library","requires_auth":"low_privilege","summary":"A refcounting bug in SciPy's Py_FindObjects function can cause memory leaks, potentially leading to denial of service.","user_interaction":"not_required","vuln_class":"memory_corruption"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"mitre","cpe":[{"product":"scipy","vendor":"scipy"}],"cvss":{"score":5.5,"severity":"medium","source":"cisa-adp","vector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","version":"3.1"},"cwes":[{"id":"CWE-401","name":"Missing Release of Memory after Effective Lifetime"}],"description":"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.","ecosystems":["PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":true,"headline":"Withdrawn: scipy memory leak vulnerability","id":"CVE-2023-25399","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"memory_corruption","year":"2023"},"n_packages":3,"n_references":4,"next":{"headline":"File upload in n/a","id":"CVE-2023-25402"},"packages":[{"ecosystem":"PyPI","fixed":["1.10.0"],"introduced":["0"],"last_affected":[],"package":"scipy","purl":null,"source":"GHSA-9jx5-6pgf-crrp"},{"ecosystem":"PyPI","fixed":["1.10.0"],"introduced":["0"],"last_affected":[],"package":"scipy","purl":"pkg:pypi/scipy","source":"GHSA-9jx5-6pgf-crrp"},{"ecosystem":"PyPI","fixed":["1.10.0"],"introduced":["0"],"last_affected":[],"package":"scipy","purl":"pkg:pypi/scipy","source":"PYSEC-2023-102"}],"prev":{"headline":"Privilege escalation in n/a","id":"CVE-2023-25396"},"products":["n/a"],"published":"2023-07-05","related":[{"cvss_score":9.8,"headline":"Withdrawn: Use after free in SciPy","id":"CVE-2023-29824","kev_date_added":null,"published":"2023-07-06"}],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"class":"attribution","licence":"CC BY 4.0","name":"GitHub Advisory Database","prefix":"GHSA"},{"class":"attribution","licence":"CC BY 4.0","name":"PyPA Advisory Database","prefix":"PYSEC"},{"class":"attribution","licence":"US public information, NVD API terms","name":"NVD"},{"class":"attribution","licence":"CWE Terms of Use","name":"CWE (MITRE)"},{"class":"attribution","licence":"FIRST CVSS licence","name":"CVSS (FIRST)"}],"ssvc":{"automatable":"no","exploitation":"none","technical_impact":"partial"},"state":"PUBLISHED","updated":"2024-08-02","vendors":["n/a"]},"summary":"A refcounting bug in SciPy's Py_FindObjects function can cause memory leaks, potentially leading to denial of service.","url":"https://insights.sbomify.com/CVE-2023-25399/"}