{"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-2021-41212 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-2021-41212 is a high-severity memory corruption 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-2021-41212 and fix it if it is affected.\n\nWhat it is: CVE-2021-41212 is a high-severity memory corruption 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-2021-41212 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-2021-41212/ (Markdown: https://insights.sbomify.com/CVE-2021-41212/index.md)","id":"CVE-2021-41212","markdown":"https://insights.sbomify.com/CVE-2021-41212/index.md","name":"CVE-2021-41212","record":{"aliases":["BIT-tensorflow-2021-41212","GHSA-fr77-rrx3-cp7g","PYSEC-2021-404","PYSEC-2021-621","PYSEC-2021-819"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service","data_read"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"TensorFlow ML library","requires_auth":"low_privilege","summary":"An out-of-bounds heap read in TensorFlow's ragged cross operation can cause crashes or leak memory, requiring an upgrade to patched versions.","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:H/I:N/A:H","version":"3.1"},"cwes":[{"id":"CWE-125","name":"Out-of-bounds Read"}],"description":"TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` can trigger a read outside of bounds of heap allocated array. 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":"Heap OOB read in `tf.ragged.cross`","id":"CVE-2021-41212","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"memory_corruption","year":"2021"},"n_packages":22,"n_references":2,"next":{"headline":"Deadlock in mutually recursive `tf.function` objects","id":"CVE-2021-41213"},"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-2021-41212"},{"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-2021-404"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-fr77-rrx3-cp7g"},{"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-2021-621"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-fr77-rrx3-cp7g"},{"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-2021-819"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-fr77-rrx3-cp7g"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-fr77-rrx3-cp7g"}],"prev":{"headline":"Heap OOB read in shape inference for `QuantizeV2`","id":"CVE-2021-41211"},"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":"An out-of-bounds heap read in TensorFlow's ragged cross operation can cause crashes or leak memory, requiring an upgrade to patched versions.","url":"https://insights.sbomify.com/CVE-2021-41212/"}