{"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-2022-35939 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-2022-35939 is a high-severity memory corruption 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-2022-35939 and fix it if it is affected.\n\nWhat it is: CVE-2022-35939 is a high-severity memory corruption 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-2022-35939 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected from 2.7.0; fixed in 2.7.2, 2.8.1, 2.9.1\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-2022-35939/ (Markdown: https://insights.sbomify.com/CVE-2022-35939/index.md)","id":"CVE-2022-35939","markdown":"https://insights.sbomify.com/CVE-2022-35939/index.md","name":"CVE-2022-35939","record":{"aliases":["BIT-tensorflow-2022-35939","GHSA-ffjm-4qwc-7cmf","PYSEC-2026-3171","PYSEC-2026-3319","PYSEC-2026-989"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["code_execution","denial_of_service"],"network_reachable":"yes","non_default_config":false,"product_category":"TensorFlow machine learning library","requires_auth":"none","summary":"An out-of-bounds write in TensorFlow Lite's scatter_nd operation allows attackers to cause crashes or potentially execute arbitrary code.","user_interaction":"not_required","vuln_class":"memory_corruption"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"tensorflow","vendor":"google"}],"cvss":{"score":7,"severity":"high","source":"cna","vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H","version":"3.1"},"cwes":[{"id":"CWE-787","name":"Out-of-bounds Write"}],"description":"TensorFlow is an open source platform for machine learning. The `ScatterNd` function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. We have patched the issue in GitHub commit b4d4b4cb019bd7240a52daa4ba61e3cc814f0384. 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":"Out of bounds write in `scatter_nd` op in TensorFlow Lite","id":"CVE-2022-35939","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"memory_corruption","year":"2022"},"n_packages":22,"n_references":3,"next":{"headline":"Int overflow in `RaggedRangeOp` in Tensoflow","id":"CVE-2022-35940"},"packages":[{"ecosystem":"Bitnami","fixed":["2.7.2","2.8.1","2.9.1"],"introduced":["2.7.0","2.8.0","2.9.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2022-35939"},{"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-2026-3171"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-ffjm-4qwc-7cmf"},{"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-2026-3319"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-ffjm-4qwc-7cmf"},{"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-2026-989"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-ffjm-4qwc-7cmf"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-ffjm-4qwc-7cmf"}],"prev":{"headline":"OOB read in `Gather_nd` op in TensorFlow Lite Micro","id":"CVE-2022-35938"},"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 out-of-bounds write in TensorFlow Lite's scatter_nd operation allows attackers to cause crashes or potentially execute arbitrary code.","url":"https://insights.sbomify.com/CVE-2022-35939/"}