{"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-2021-41219 in the wild and no public exploit code.","fix":"Upgrade tensorflow to a fixed version for your release line: 2.4.4, 2.5.2, 2.6.1 or 2.7.0.","what":"CVE-2021-41219 is a high-severity vulnerability in Google Tensorflow, published on 5 Nov 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-2021-41219 and fix it if it is affected.\n\nWhat it is: CVE-2021-41219 is a high-severity vulnerability in Google Tensorflow, published on 5 Nov 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-2021-41219 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected all versions; fixed in 2.4.4, 2.5.2, 2.6.1\n- tensorflow (PyPI): affected all versions; fixed in 2.4.4, 2.5.2, 2.6.1, 2.7.0\n- tensorflow (PyPI): affected all versions; fixed in 2.4.4\n- tensorflow (PyPI): affected all versions; fixed in 2.4.4\n- tensorflow (PyPI): affected from 2.5.0; fixed in 2.5.2\n- tensorflow (PyPI): affected from 2.5.0; fixed in 2.5.2\n- tensorflow (PyPI): affected from 2.6.0; fixed in 2.6.1\n- tensorflow (PyPI): affected from 2.6.0; fixed in 2.6.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.4.4, 2.5.2, 2.6.1, 2.7.0\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.4.4\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.4.4\n- tensorflow-cpu (PyPI): affected from 2.5.0; fixed in 2.5.2\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-2021-41219/ (Markdown: https://insights.sbomify.com/CVE-2021-41219/index.md)","id":"CVE-2021-41219","markdown":"https://insights.sbomify.com/CVE-2021-41219/index.md","name":"CVE-2021-41219","record":{"aliases":["BIT-tensorflow-2021-41219","GHSA-4f99-p9c2-3j8x","PYSEC-2021-411","PYSEC-2021-628","PYSEC-2021-826"],"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 undefined behavior and potential heap out-of-bounds access in TensorFlow's sparse matrix multiplication by providing zero or negative dimensions.","user_interaction":"not_required","vuln_class":"null_dereference"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"tensorflow","vendor":"google"}],"cvss":{"score":7.8,"severity":"high","source":"cna","vector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-125","name":"Out-of-bounds Read"},{"id":"CWE-824","name":"Access of Uninitialized Pointer"}],"description":"TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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":"Undefined behavior via `nullptr` reference binding in sparse matrix multiplication","id":"CVE-2021-41219","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"null_dereference","year":"2021"},"n_packages":22,"n_references":2,"next":{"headline":"Use after free in `CollectiveReduceV2`","id":"CVE-2021-41220"},"packages":[{"ecosystem":"Bitnami","fixed":["2.4.4","2.5.2","2.6.1"],"introduced":["0","2.5.0","2.6.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2021-41219"},{"ecosystem":"PyPI","fixed":["2.4.4","2.5.2","2.6.1","2.7.0"],"introduced":["0","2.5.0","2.6.0","2.7.0rc0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2021-411"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.4.4","2.5.2","2.6.1","2.7.0"],"introduced":["0","2.5.0","2.6.0","2.7.0rc0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2021-628"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.4.4","2.5.2","2.6.1","2.7.0"],"introduced":["0","2.5.0","2.6.0","2.7.0rc0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2021-826"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-4f99-p9c2-3j8x"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-4f99-p9c2-3j8x"}],"prev":{"headline":"Integer division by 0 in `tf.raw_ops.AllToAll`","id":"CVE-2021-41218"},"products":["tensorflow"],"published":"2021-11-05","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":"2024-08-04","vendors":["tensorflow"]},"summary":"Attackers can trigger undefined behavior and potential heap out-of-bounds access in TensorFlow's sparse matrix multiplication by providing zero or negative dimensions.","url":"https://insights.sbomify.com/CVE-2021-41219/"}