{"answers":{"affected":"16 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-2021-29521 in the wild and no public exploit code.","fix":"Upgrade tensorflow to a fixed version for your release line: 2.3.3 or 2.4.2.","what":"CVE-2021-29521 is a low-severity denial of service 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-2021-29521 and fix it if it is affected.\n\nWhat it is: CVE-2021-29521 is a low-severity denial of service 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-2021-29521 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected from 2.3.0; fixed in 2.3.3, 2.4.2\n- tensorflow (PyPI): affected from 2.3.0; fixed in 2.3.3, 2.4.2\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 from 2.3.0; fixed in 2.3.3, 2.4.2\n- tensorflow-cpu (PyPI): affected from 2.3.0; fixed in 2.3.3\n- tensorflow-cpu (PyPI): affected from 2.3.0; fixed in 2.3.3\n- tensorflow-cpu (PyPI): affected from 2.4.0; fixed in 2.4.2\n- tensorflow-cpu (PyPI): affected from 2.4.0; fixed in 2.4.2\n- tensorflow-gpu (PyPI): affected from 2.3.0; fixed in 2.3.3, 2.4.2\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-2021-29521/ (Markdown: https://insights.sbomify.com/CVE-2021-29521/index.md)","id":"CVE-2021-29521","markdown":"https://insights.sbomify.com/CVE-2021-29521/index.md","name":"CVE-2021-29521","record":{"aliases":["BIT-tensorflow-2021-29521","GHSA-hr84-fqvp-48mm","PYSEC-2021-158","PYSEC-2021-449","PYSEC-2021-647"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"TensorFlow machine learning library","requires_auth":"low_privilege","summary":"An attacker can cause a segmentation fault and crash the application by providing a negative dense shape to the SparseCountSparseOutput operation.","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":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-131","name":"Incorrect Calculation of Buffer Size"}],"description":"TensorFlow is an end-to-end open source platform for machine learning. Specifying a negative dense shape in `tf.raw_ops.SparseCountSparseOutput` results in a segmentation fault being thrown out from the standard library as `std::vector` invariants are broken. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L199-L213) assumes the first element of the dense shape is always positive and uses it to initialize a `BatchedMap\u003cT\u003e` (i.e., `std::vector\u003cabsl::flat_hash_map\u003cint64,T\u003e\u003e`(https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L27)) data structure. If the `shape` tensor has more than one element, `num_batches` is the first value in `shape`. Ensuring that the `dense_shape` argument is a valid tensor shape (that is, all elements are non-negative) solves this issue. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3.","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":"Segfault in SparseCountSparseOutput","id":"CVE-2021-29521","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"denial_of_service","year":"2021"},"n_packages":16,"n_references":2,"next":{"headline":"Division by 0 in `Conv3DBackprop*`","id":"CVE-2021-29522"},"packages":[{"ecosystem":"Bitnami","fixed":["2.3.3","2.4.2"],"introduced":["2.3.0","2.4.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2021-29521"},{"ecosystem":"PyPI","fixed":["2.3.3","2.4.2"],"introduced":["2.3.0","2.4.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2021-158"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-hr84-fqvp-48mm"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-hr84-fqvp-48mm"},{"ecosystem":"PyPI","fixed":["2.4.2"],"introduced":["2.4.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-hr84-fqvp-48mm"},{"ecosystem":"PyPI","fixed":["2.4.2"],"introduced":["2.4.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-hr84-fqvp-48mm"},{"ecosystem":"PyPI","fixed":["2.3.3","2.4.2"],"introduced":["2.3.0","2.4.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2021-449"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-hr84-fqvp-48mm"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-hr84-fqvp-48mm"},{"ecosystem":"PyPI","fixed":["2.4.2"],"introduced":["2.4.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-hr84-fqvp-48mm"},{"ecosystem":"PyPI","fixed":["2.4.2"],"introduced":["2.4.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-hr84-fqvp-48mm"},{"ecosystem":"PyPI","fixed":["2.3.3","2.4.2"],"introduced":["2.3.0","2.4.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2021-647"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-hr84-fqvp-48mm"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-hr84-fqvp-48mm"},{"ecosystem":"PyPI","fixed":["2.4.2"],"introduced":["2.4.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-hr84-fqvp-48mm"},{"ecosystem":"PyPI","fixed":["2.4.2"],"introduced":["2.4.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-hr84-fqvp-48mm"}],"prev":{"headline":"Heap buffer overflow in `Conv3DBackprop*`","id":"CVE-2021-29520"},"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":"An attacker can cause a segmentation fault and crash the application by providing a negative dense shape to the SparseCountSparseOutput operation.","url":"https://insights.sbomify.com/CVE-2021-29521/"}