{"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-2022-29208 exists.","fix":"Upgrade tensorflow to a fixed version for your release line: 2.6.4, 2.7.2 or 2.8.1.","what":"CVE-2022-29208 is a high-severity memory corruption vulnerability in Google Tensorflow, published on 20 May 2022. It can only be exploited from the same machine or local network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2022-29208 and fix it if it is affected.\n\nWhat it is: CVE-2022-29208 is a high-severity memory corruption vulnerability in Google Tensorflow, published on 20 May 2022. It can only be exploited from the same machine or local network, with no action from the victim.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2022-29208 exists.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected all versions; fixed in 2.6.4, 2.7.2, 2.8.1\n- tensorflow (PyPI): affected all versions; fixed in 2.6.4, 2.7.2, 2.8.1\n- tensorflow (PyPI): affected all versions; fixed in 2.6.4\n- tensorflow (PyPI): affected all versions; fixed in 2.6.4\n- tensorflow (PyPI): affected from 2.7.0; fixed in 2.7.2\n- tensorflow (PyPI): affected from 2.7.0; 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-cpu (PyPI): affected all versions; fixed in 2.6.4, 2.7.2, 2.8.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.6.4\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.6.4\n- tensorflow-cpu (PyPI): affected from 2.7.0; fixed in 2.7.2\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-2022-29208/ (Markdown: https://insights.sbomify.com/CVE-2022-29208/index.md)","id":"CVE-2022-29208","markdown":"https://insights.sbomify.com/CVE-2022-29208/index.md","name":"CVE-2022-29208","record":{"aliases":["BIT-tensorflow-2022-29208","GHSA-2r2f-g8mw-9gvr","PYSEC-2026-3088","PYSEC-2026-3266","PYSEC-2026-943"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service","code_execution"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"TensorFlow machine learning library","requires_auth":"low_privilege","summary":"Attackers can trigger a segmentation fault or out-of-bounds write in TensorFlow's EditDistance operation via negative inputs, causing denial of service or potential code execution.","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":7.1,"severity":"high","source":"cna","vector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-787","name":"Out-of-bounds Write"}],"description":"TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.EditDistance` has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service. In multiple places throughout the code, one may compute an index for a write operation. However, the existing validation only checks against the upper bound of the array. Hence, it is possible to write before the array by massaging the input to generate negative values for `loc`. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch 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":"weaponised"},"has_fix":true,"headline":"Segfault and Out-of-bounds Write write due to incomplete validation in TensorFlow","id":"CVE-2022-29208","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":6,"next":{"headline":"Type confusion leading to `CHECK`-failure based denial of service in TensorFlow","id":"CVE-2022-29209"},"packages":[{"ecosystem":"Bitnami","fixed":["2.6.4","2.7.2","2.8.1"],"introduced":["0","2.7.0","2.8.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2022-29208"},{"ecosystem":"PyPI","fixed":["2.6.4","2.7.2","2.8.1"],"introduced":["0","2.7.0","2.8.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2026-3088"},{"ecosystem":"PyPI","fixed":["2.6.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.6.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.6.4","2.7.2","2.8.1"],"introduced":["0","2.7.0","2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2026-3266"},{"ecosystem":"PyPI","fixed":["2.6.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.6.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.6.4","2.7.2","2.8.1"],"introduced":["0","2.7.0","2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2026-943"},{"ecosystem":"PyPI","fixed":["2.6.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.6.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-2r2f-g8mw-9gvr"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-2r2f-g8mw-9gvr"}],"prev":{"headline":"Undefined behavior when users supply invalid resource handles in TensorFlow","id":"CVE-2022-29207"},"products":["tensorflow"],"published":"2022-05-20","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":"Attackers can trigger a segmentation fault or out-of-bounds write in TensorFlow's EditDistance operation via negative inputs, causing denial of service or potential code execution.","url":"https://insights.sbomify.com/CVE-2022-29208/"}