{"answers":{"affected":"10 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-2022-41883 exists.","fix":"Upgrade tensorflow to 2.10.1 or later.","what":"CVE-2022-41883 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-2022-41883 and fix it if it is affected.\n\nWhat it is: CVE-2022-41883 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-2022-41883 exists.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): 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 2.10.0; fixed in 2.10.1\n- tensorflow (PyPI): affected from 2.10.0; fixed in 2.10.1\n- tensorflow-cpu (PyPI): affected from 2.10.0; fixed in 2.10.1\n- tensorflow-cpu (PyPI): affected from 2.10.0; fixed in 2.10.1\n- tensorflow-cpu (PyPI): affected from 2.10.0; fixed in 2.10.1\n- tensorflow-gpu (PyPI): affected from 2.10.0; fixed in 2.10.1\n- tensorflow-gpu (PyPI): affected from 2.10.0; fixed in 2.10.1\n- tensorflow-gpu (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-2022-41883/ (Markdown: https://insights.sbomify.com/CVE-2022-41883/index.md)","id":"CVE-2022-41883","markdown":"https://insights.sbomify.com/CVE-2022-41883/index.md","name":"CVE-2022-41883","record":{"aliases":["BIT-tensorflow-2022-41883","GHSA-w58w-79xv-6vcj","PYSEC-2026-1042","PYSEC-2026-3251","PYSEC-2026-3376"],"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 crash the application by providing unequal input sizes to TensorFlow operations.","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":6.8,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H","version":"3.1"},"cwes":[{"id":"CWE-125","name":"Out-of-bounds Read"}],"description":"TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. 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":"Out of bounds segmentation fault due to unequal op inputs in Tensorflow","id":"CVE-2022-41883","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"denial_of_service","year":"2022"},"n_packages":10,"n_references":4,"next":{"headline":"Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow","id":"CVE-2022-41884"},"packages":[{"ecosystem":"Bitnami","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2022-41883"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-w58w-79xv-6vcj"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-w58w-79xv-6vcj"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2026-3251"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-w58w-79xv-6vcj"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-w58w-79xv-6vcj"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2026-3376"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-w58w-79xv-6vcj"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-w58w-79xv-6vcj"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2026-1042"}],"prev":{"headline":"Nextcloud Desktop vulnerable to code injection via malicious link","id":"CVE-2022-41882"},"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 crash the application by providing unequal input sizes to TensorFlow operations.","url":"https://insights.sbomify.com/CVE-2022-41883/"}