{"answers":{"affected":"28 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-2021-29577 in the wild and no public exploit code.","fix":"Upgrade tensorflow to a fixed version for your release line: 2.1.4, 2.2.3, 2.3.3 or 2.4.2.","what":"CVE-2021-29577 is a low-severity memory corruption vulnerability in Google Tensorflow, published on 14 May 2021. 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-2021-29577 and fix it if it is affected.\n\nWhat it is: CVE-2021-29577 is a low-severity memory corruption vulnerability in Google Tensorflow, published on 14 May 2021. It can only be exploited from the same machine or local network, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2021-29577 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected all versions; fixed in 2.1.4, 2.2.3, 2.3.3, 2.4.2\n- tensorflow (PyPI): affected all versions; fixed in 2.1.4, 2.2.3, 2.3.3, 2.4.2\n- tensorflow (PyPI): affected all versions; fixed in 2.1.4\n- tensorflow (PyPI): affected all versions; fixed in 2.1.4\n- tensorflow (PyPI): affected from 2.2.0; fixed in 2.2.3\n- tensorflow (PyPI): affected from 2.2.0; fixed in 2.2.3\n- tensorflow (PyPI): affected from 2.3.0; fixed in 2.3.3\n- tensorflow (PyPI): affected from 2.3.0; fixed in 2.3.3\n- tensorflow (PyPI): affected from 2.4.0; fixed in 2.4.2\n- tensorflow (PyPI): affected from 2.4.0; fixed in 2.4.2\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.1.4, 2.2.3, 2.3.3, 2.4.2\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.1.4\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-2021-29577/ (Markdown: https://insights.sbomify.com/CVE-2021-29577/index.md)","id":"CVE-2021-29577","markdown":"https://insights.sbomify.com/CVE-2021-29577/index.md","name":"CVE-2021-29577","record":{"aliases":["BIT-tensorflow-2021-29577","GHSA-v6r6-84gr-92rm","PYSEC-2021-214","PYSEC-2021-505","PYSEC-2021-703"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["code_execution","denial_of_service"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"TensorFlow machine learning library","requires_auth":"low_privilege","summary":"A heap buffer overflow in TensorFlow's AvgPool3DGrad operation allows attackers to execute arbitrary code or cause denial of service via crafted inputs.","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":2.5,"severity":"low","source":"cna","vector":"CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L","version":"3.1"},"cwes":[{"id":"CWE-787","name":"Out-of-bounds Write"},{"id":"CWE-119","name":"Improper Restriction of Operations within the Bounds of a Memory Buffer"}],"description":"TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.AvgPool3DGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/d80ffba9702dc19d1fac74fc4b766b3fa1ee976b/tensorflow/core/kernels/pooling_ops_3d.cc#L376-L450) assumes that the `orig_input_shape` and `grad` tensors have similar first and last dimensions but does not check that this assumption is validated. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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":"none_known"},"has_fix":true,"headline":"Heap buffer overflow in `AvgPool3DGrad`","id":"CVE-2021-29577","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"memory_corruption","year":"2021"},"n_packages":28,"n_references":2,"next":{"headline":"Heap buffer overflow in `FractionalAvgPoolGrad`","id":"CVE-2021-29578"},"packages":[{"ecosystem":"Bitnami","fixed":["2.1.4","2.2.3","2.3.3","2.4.2"],"introduced":["0","2.2.0","2.3.0","2.4.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2021-29577"},{"ecosystem":"PyPI","fixed":["2.1.4","2.2.3","2.3.3","2.4.2"],"introduced":["0","2.2.0","2.3.0","2.4.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2021-214"},{"ecosystem":"PyPI","fixed":["2.1.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.1.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.2.3"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.2.3"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.4.2"],"introduced":["2.4.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.4.2"],"introduced":["2.4.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.1.4","2.2.3","2.3.3","2.4.2"],"introduced":["0","2.2.0","2.3.0","2.4.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2021-505"},{"ecosystem":"PyPI","fixed":["2.1.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.1.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.2.3"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.2.3"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.4.2"],"introduced":["2.4.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.4.2"],"introduced":["2.4.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.1.4","2.2.3","2.3.3","2.4.2"],"introduced":["0","2.2.0","2.3.0","2.4.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2021-703"},{"ecosystem":"PyPI","fixed":["2.1.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.1.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.2.3"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.2.3"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.4.2"],"introduced":["2.4.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-v6r6-84gr-92rm"},{"ecosystem":"PyPI","fixed":["2.4.2"],"introduced":["2.4.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-v6r6-84gr-92rm"}],"prev":{"headline":"Heap buffer overflow in `MaxPool3DGradGrad`","id":"CVE-2021-29576"},"products":["tensorflow"],"published":"2021-05-14","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":null,"exploitation":null,"technical_impact":null},"state":"PUBLISHED","updated":"2024-08-03","vendors":["tensorflow"]},"summary":"A heap buffer overflow in TensorFlow's AvgPool3DGrad operation allows attackers to execute arbitrary code or cause denial of service via crafted inputs.","url":"https://insights.sbomify.com/CVE-2021-29577/"}