{"answers":{"affected":"22 open source packages ship an affected version, including tensorflow, tensorflow-cpu and tensorflow-gpu. It affects 1 product.","exploited":"There is no known exploitation of CVE-2022-35963 in the wild and no public exploit code.","fix":"Upgrade tensorflow to a fixed version for your release line: 2.7.2, 2.8.1 or 2.9.1.","what":"CVE-2022-35963 is a medium-severity denial of service vulnerability in Google Tensorflow, published on 16 Sep 2022. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2022-35963 and fix it if it is affected.\n\nWhat it is: CVE-2022-35963 is a medium-severity denial of service vulnerability in Google Tensorflow, published on 16 Sep 2022. An attacker can exploit it over the internet without logging in, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2022-35963 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected from 2.7.0 up to 2.8.0; fixed in 2.7.2\n- tensorflow (PyPI): affected all versions; fixed in 2.7.2, 2.8.1, 2.9.1\n- tensorflow (PyPI): affected all versions; fixed in 2.7.2\n- tensorflow (PyPI): affected all versions; fixed in 2.7.2\n- tensorflow (PyPI): affected from 2.8.0; fixed in 2.8.1\n- tensorflow (PyPI): affected from 2.8.0; fixed in 2.8.1\n- tensorflow (PyPI): affected from 2.9.0; fixed in 2.9.1\n- tensorflow (PyPI): affected from 2.9.0; fixed in 2.9.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.7.2, 2.8.1, 2.9.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.7.2\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.7.2\n- tensorflow-cpu (PyPI): affected from 2.8.0; fixed in 2.8.1\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-2022-35963/ (Markdown: https://insights.sbomify.com/CVE-2022-35963/index.md)","id":"CVE-2022-35963","markdown":"https://insights.sbomify.com/CVE-2022-35963/index.md","name":"CVE-2022-35963","record":{"aliases":["BIT-tensorflow-2022-35963","GHSA-84jm-4cf3-9jfm","PYSEC-2026-3133","PYSEC-2026-3296","PYSEC-2026-969"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service"],"network_reachable":"yes","non_default_config":false,"product_category":"TensorFlow ML library","requires_auth":"none","summary":"An attacker can cause a denial of service in TensorFlow by triggering a CHECK failure via invalid input to FractionalAvgPoolGrad.","user_interaction":"not_required","vuln_class":"denial_of_service"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"tensorflow","vendor":"google"}],"cvss":{"score":5.9,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H","version":"3.1"},"cwes":[{"id":"CWE-617","name":"Reachable Assertion"}],"description":"TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully validate the input `orig_input_tensor_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 03a659d7be9a1154fdf5eeac221e5950fec07dad. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.","ecosystems":["Bitnami","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":"`CHECK` failures in `FractionalAvgPoolGrad` in TensorFlow","id":"CVE-2022-35963","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":"Segfault in `BlockLSTMGradV2` in TensorFlow","id":"CVE-2022-35964"},"packages":[{"ecosystem":"Bitnami","fixed":["2.7.2"],"introduced":["2.7.0","2.8.0","2.9.0"],"last_affected":["2.8.0","2.9.0"],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2022-35963"},{"ecosystem":"PyPI","fixed":["2.7.2","2.8.1","2.9.1"],"introduced":["0","2.8.0","2.9.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2026-3133"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.7.2","2.8.1","2.9.1"],"introduced":["0","2.8.0","2.9.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2026-3296"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.7.2","2.8.1","2.9.1"],"introduced":["0","2.8.0","2.9.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2026-969"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-84jm-4cf3-9jfm"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-84jm-4cf3-9jfm"}],"prev":{"headline":"Crafted link in Zulip message can cause disclosure of credentials","id":"CVE-2022-35962"},"products":["tensorflow"],"published":"2022-09-16","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":"none","technical_impact":"partial"},"state":"PUBLISHED","updated":"2025-04-23","vendors":["tensorflow"]},"summary":"An attacker can cause a denial of service in TensorFlow by triggering a CHECK failure via invalid input to FractionalAvgPoolGrad.","url":"https://insights.sbomify.com/CVE-2022-35963/"}