{"answers":{"affected":"22 open source packages ship an affected version, including tensorflow, tensorflow-cpu and tensorflow-gpu. It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2022-41884 exists.","fix":"Upgrade tensorflow to a fixed version for your release line: 2.8.4, 2.9.3 or 2.10.1.","what":"CVE-2022-41884 is a medium-severity denial of service vulnerability in Google Tensorflow, published on 18 Nov 2022. Any signed-in user can exploit it over the network, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2022-41884 and fix it if it is affected.\n\nWhat it is: CVE-2022-41884 is a medium-severity denial of service vulnerability in Google Tensorflow, published on 18 Nov 2022. Any signed-in user can exploit it over the network, and only if a user opens a file or follows a link.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2022-41884 exists.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected all versions; fixed in 2.8.4, 2.9.3, 2.10.1\n- tensorflow (PyPI): affected all versions; fixed in 2.8.4, 2.9.3, 2.10.1\n- tensorflow (PyPI): affected all versions; fixed in 2.8.4\n- tensorflow (PyPI): affected all versions; fixed in 2.8.4\n- tensorflow (PyPI): affected from 2.10.0; fixed in 2.10.1\n- tensorflow (PyPI): affected from 2.10.0; fixed in 2.10.1\n- tensorflow (PyPI): affected from 2.9.0; fixed in 2.9.3\n- tensorflow (PyPI): affected from 2.9.0; fixed in 2.9.3\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.8.4, 2.9.3, 2.10.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.8.4\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.8.4\n- tensorflow-cpu (PyPI): affected from 2.10.0; fixed in 2.10.1\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-2022-41884/ (Markdown: https://insights.sbomify.com/CVE-2022-41884/index.md)","id":"CVE-2022-41884","markdown":"https://insights.sbomify.com/CVE-2022-41884/index.md","name":"CVE-2022-41884","record":{"aliases":["AZL-11525","BIT-tensorflow-2022-41884","GHSA-jq6x-99hj-q636","PYSEC-2026-1013","PYSEC-2026-3208","PYSEC-2026-3345"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service"],"network_reachable":"yes","non_default_config":false,"product_category":"TensorFlow machine learning library","requires_auth":"low_privilege","summary":"An attacker can cause a segmentation fault and denial of service in TensorFlow by providing a numpy array with specific zero and large shape elements.","user_interaction":"required","vuln_class":"denial_of_service"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"tensorflow","vendor":"google"}],"cvss":{"score":4.8,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","version":"3.1"},"cwes":[{"id":"CWE-670","name":"Always-Incorrect Control Flow Implementation"}],"description":"TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.","ecosystems":["Bitnami","PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"weaponised"},"has_fix":true,"headline":"Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow","id":"CVE-2022-41884","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"denial_of_service","year":"2022"},"n_packages":22,"n_references":2,"next":{"headline":"Overflow in `FusedResizeAndPadConv2D` in Tensorflow","id":"CVE-2022-41885"},"packages":[{"ecosystem":"Bitnami","fixed":["2.8.4","2.9.3","2.10.1"],"introduced":["0","2.9.0","2.10.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2022-41884"},{"ecosystem":"PyPI","fixed":["2.8.4","2.9.3","2.10.1"],"introduced":["0","2.9.0","2.10.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2026-3208"},{"ecosystem":"PyPI","fixed":["2.8.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.8.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.8.4","2.9.3","2.10.1"],"introduced":["0","2.9.0","2.10.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2026-3345"},{"ecosystem":"PyPI","fixed":["2.8.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.8.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.8.4","2.9.3","2.10.1"],"introduced":["0","2.9.0","2.10.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2026-1013"},{"ecosystem":"PyPI","fixed":["2.8.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.8.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-jq6x-99hj-q636"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-jq6x-99hj-q636"}],"prev":{"headline":"Out of bounds segmentation fault due to unequal op inputs in Tensorflow","id":"CVE-2022-41883"},"products":["tensorflow"],"published":"2022-11-18","related":[{"cvss_score":9.8,"headline":"TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation","id":"CVE-2023-25668","kev_date_added":null,"published":"2023-03-24"},{"cvss_score":9.8,"headline":"Integer Overflow or Wraparound in Google TensorFlow","id":"CVE-2018-7575","kev_date_added":null,"published":"2019-04-24"},{"cvss_score":9.3,"headline":"Arbitrary code execution due to YAML deserialization","id":"CVE-2021-37678","kev_date_added":null,"published":"2021-08-12"},{"cvss_score":9.1,"headline":"Path traversal in n/a","id":"CVE-2021-35958","kev_date_added":null,"published":"2021-06-30"},{"cvss_score":9,"headline":"Integer truncation in Shard API usage","id":"CVE-2020-15202","kev_date_added":null,"published":"2020-09-25"},{"cvss_score":9,"headline":"Data leak in Tensorflow","id":"CVE-2020-15205","kev_date_added":null,"published":"2020-09-25"},{"cvss_score":9,"headline":"Denial of Service in Tensorflow","id":"CVE-2020-15206","kev_date_added":null,"published":"2020-09-25"}],"sources":[{"class":"attribution","licence":"Apache-2.0","name":"Bitnami","prefix":"BIT"},{"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":"poc","technical_impact":"partial"},"state":"PUBLISHED","updated":"2025-04-22","vendors":["tensorflow"]},"summary":"An attacker can cause a segmentation fault and denial of service in TensorFlow by providing a numpy array with specific zero and large shape elements.","url":"https://insights.sbomify.com/CVE-2022-41884/"}