{"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-2021-41196 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-2021-41196 is a medium-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-2021-41196 and fix it if it is affected.\n\nWhat it is: CVE-2021-41196 is a medium-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-2021-41196 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-2021-41196/ (Markdown: https://insights.sbomify.com/CVE-2021-41196/index.md)","id":"CVE-2021-41196","markdown":"https://insights.sbomify.com/CVE-2021-41196/index.md","name":"CVE-2021-41196","record":{"aliases":["BIT-tensorflow-2021-41196","GHSA-m539-j985-hcr8","PYSEC-2021-389","PYSEC-2021-606","PYSEC-2021-804"],"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":"Attackers can cause a denial of service via segmentation fault in TensorFlow Keras pooling layers by providing invalid size arguments.","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":5.5,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","version":"3.1"},"cwes":[{"id":"CWE-191","name":"Integer Underflow (Wrap or Wraparound)"}],"description":"TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. 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":"Crash in `max_pool3d` when size argument is 0 or negative","id":"CVE-2021-41196","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":3,"next":{"headline":"Crashes due to overflow and `CHECK`-fail in ops with large tensor shapes","id":"CVE-2021-41197"},"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-2021-41196"},{"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-2021-389"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-m539-j985-hcr8"},{"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-2021-606"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-m539-j985-hcr8"},{"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-2021-804"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-m539-j985-hcr8"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-m539-j985-hcr8"}],"prev":{"headline":"Crash in `tf.math.segment_*` operations","id":"CVE-2021-41195"},"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 cause a denial of service via segmentation fault in TensorFlow Keras pooling layers by providing invalid size arguments.","url":"https://insights.sbomify.com/CVE-2021-41196/"}