{"answers":{"affected":"3 open source packages ship an affected version, including numpy. It affects 1 product.","exploited":"There is no known exploitation of CVE-2021-33430 in the wild and no public exploit code.","fix":"Upgrade numpy to a fixed version for your release line: 1.10.0 or 1.21.","what":"CVE-2021-33430 is a medium-severity memory corruption vulnerability in n/a, published on 17 Dec 2021. Any signed-in user can exploit it over the network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2021-33430 and fix it if it is affected.\n\nWhat it is: CVE-2021-33430 is a medium-severity memory corruption vulnerability in n/a, published on 17 Dec 2021. Any signed-in user can exploit it over the network, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2021-33430 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- numpy (PyPI): affected from 1.9.0; fixed in 1.10.0\n- numpy (PyPI): affected from 1.9.0; fixed in 1.21\n- numpy (PyPI): affected from 1.9.0; fixed in 1.21\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-2021-33430/ (Markdown: https://insights.sbomify.com/CVE-2021-33430/index.md)","id":"CVE-2021-33430","markdown":"https://insights.sbomify.com/CVE-2021-33430/index.md","name":"CVE-2021-33430","record":{"aliases":["CLSA-2026-1789467688","CLSA-2026-1789542174","DEBIAN-CVE-2021-33430","GHSA-6p56-wp2h-9hxr","MINI-97qj-j8cw-pphg","PYSEC-2021-854","UBUNTU-CVE-2021-33430","openSUSE-SU-2024:11747-1","openSUSE-SU-2025:14743-1"],"analysis":{"component_type":"library","fix_type":"no_fix_stated","impacts":["denial_of_service"],"network_reachable":"yes","non_default_config":false,"product_category":"NumPy Python library","requires_auth":"low_privilege","summary":"A buffer overflow in NumPy allows a malicious user to cause a Denial of Service by specifying large array dimensions, though exploitation is difficult.","user_interaction":"not_required","vuln_class":"memory_corruption"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"mitre","cpe":[{"product":"numpy","vendor":"numpy"}],"cvss":{"score":5.3,"severity":"medium","source":"nvd","vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:H","version":"3.1"},"cwes":[{"id":"CWE-120","name":"Buffer Copy without Checking Size of Input"}],"description":"A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulneraility; In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user","ecosystems":["PyPI","openSUSE:Tumbleweed"],"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":"NumPy Buffer Overflow (Disputed)","id":"CVE-2021-33430","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"memory_corruption","year":"2021"},"n_packages":4,"n_references":1,"next":{"headline":"Privilege escalation in n/a","id":"CVE-2021-33436"},"packages":[{"ecosystem":"PyPI","fixed":["1.10.0"],"introduced":["1.9.0"],"last_affected":[],"package":"numpy","purl":"pkg:pypi/numpy","source":"PYSEC-2021-854"},{"ecosystem":"PyPI","fixed":["1.21"],"introduced":["1.9.0"],"last_affected":[],"package":"numpy","purl":null,"source":"GHSA-6p56-wp2h-9hxr"},{"ecosystem":"PyPI","fixed":["1.21"],"introduced":["1.9.0"],"last_affected":[],"package":"numpy","purl":"pkg:pypi/numpy","source":"GHSA-6p56-wp2h-9hxr"},{"ecosystem":"openSUSE:Tumbleweed","fixed":["0.61.0-1.1"],"introduced":["0"],"last_affected":[],"package":"python-numba","purl":"pkg:rpm/opensuse/python-numba\u0026distro=openSUSE%20Tumbleweed","source":"openSUSE-SU-2025:14743-1"}],"prev":{"headline":"Cross-site scripting in n/a","id":"CVE-2021-33425"},"products":["n/a"],"published":"2021-12-17","related":[{"cvss_score":7.5,"headline":"Numpy missing input validation","id":"CVE-2017-12852","kev_date_added":null,"published":"2017-08-15"},{"cvss_score":5.5,"headline":"Buffer Copy without Checking Size of Input in NumPy","id":"CVE-2021-41496","kev_date_added":null,"published":"2021-12-17"},{"cvss_score":5.5,"headline":"Arbitrary file write in NumPy","id":"CVE-2014-1858","kev_date_added":null,"published":"2018-01-08"},{"cvss_score":5.3,"headline":"Incorrect Comparison in NumPy","id":"CVE-2021-34141","kev_date_added":null,"published":"2021-12-17"},{"cvss_score":5.3,"headline":"NumPy NULL Pointer Dereference","id":"CVE-2021-41495","kev_date_added":null,"published":"2021-12-17"}],"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":"CC BY 4.0","name":"SUSE","prefix":"openSUSE"},{"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":"2024-08-03","vendors":["n/a"]},"summary":"A buffer overflow in NumPy allows a malicious user to cause a Denial of Service by specifying large array dimensions, though exploitation is difficult.","url":"https://insights.sbomify.com/CVE-2021-33430/"}