{"answers":{"affected":"34 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-2020-26267 in the wild and no public exploit code.","fix":"Upgrade tensorflow to a fixed version for your release line: 1.15.5, 2.0.4, 2.1.3 or 2.2.2.","what":"CVE-2020-26267 is a medium-severity memory corruption vulnerability in Google Tensorflow, published on 10 Dec 2020. 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-2020-26267 and fix it if it is affected.\n\nWhat it is: CVE-2020-26267 is a medium-severity memory corruption vulnerability in Google Tensorflow, published on 10 Dec 2020. 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-2020-26267 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected all versions; fixed in 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2\n- tensorflow (PyPI): affected all versions; fixed in 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2\n- tensorflow (PyPI): affected all versions; fixed in 1.15.5\n- tensorflow (PyPI): affected all versions; fixed in 1.15.5\n- tensorflow (PyPI): affected from 2.0.0; fixed in 2.0.4\n- tensorflow (PyPI): affected from 2.0.0; fixed in 2.0.4\n- tensorflow (PyPI): affected from 2.1.0; fixed in 2.1.3\n- tensorflow (PyPI): affected from 2.1.0; fixed in 2.1.3\n- tensorflow (PyPI): affected from 2.2.0; fixed in 2.2.2\n- tensorflow (PyPI): affected from 2.2.0; fixed in 2.2.2\n- tensorflow (PyPI): affected from 2.3.0; fixed in 2.3.2\n- tensorflow (PyPI): affected from 2.3.0; fixed in 2.3.2\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-2020-26267/ (Markdown: https://insights.sbomify.com/CVE-2020-26267/index.md)","id":"CVE-2020-26267","markdown":"https://insights.sbomify.com/CVE-2020-26267/index.md","name":"CVE-2020-26267","record":{"aliases":["BIT-tensorflow-2020-26267","GHSA-c9f3-9wfr-wgh7","PYSEC-2020-140","PYSEC-2020-298","PYSEC-2020-333"],"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 library","requires_auth":"low_privilege","summary":"Attackers can trigger uninitialized memory access and crashes in TensorFlow via invalid data format attributes, leading to denial of service or information disclosure.","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":4.4,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L","version":"3.1"},"cwes":[{"id":"CWE-125","name":"Out-of-bounds Read"}],"description":"In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.","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":"Lack of validation in data format attributes in TensorFlow","id":"CVE-2020-26267","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"memory_corruption","year":"2020"},"n_packages":34,"n_references":2,"next":{"headline":"Write to immutable memory region in TensorFlow","id":"CVE-2020-26268"},"packages":[{"ecosystem":"Bitnami","fixed":["1.15.5","2.0.4","2.1.3","2.2.2","2.3.2"],"introduced":["0","2.0.0","2.1.0","2.2.0","2.3.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2020-26267"},{"ecosystem":"PyPI","fixed":["1.15.5","2.0.4","2.1.3","2.2.2","2.3.2"],"introduced":["0","2.0.0","2.1.0","2.2.0","2.3.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2020-140"},{"ecosystem":"PyPI","fixed":["1.15.5"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["1.15.5"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.0.4"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.0.4"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.1.3"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.1.3"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.2.2"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.2.2"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.3.2"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.3.2"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["1.15.5","2.0.4","2.1.3","2.2.2","2.3.2"],"introduced":["0","2.0.0","2.1.0","2.2.0","2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2020-298"},{"ecosystem":"PyPI","fixed":["1.15.5"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["1.15.5"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.0.4"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.0.4"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.1.3"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.1.3"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.2.2"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.2.2"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.3.2"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.3.2"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["1.15.5","2.0.4","2.1.3","2.2.2","2.3.2"],"introduced":["0","2.0.0","2.1.0","2.2.0","2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2020-333"},{"ecosystem":"PyPI","fixed":["1.15.5"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["1.15.5"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.0.4"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.0.4"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.1.3"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.1.3"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.2.2"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.2.2"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.3.2"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-c9f3-9wfr-wgh7"},{"ecosystem":"PyPI","fixed":["2.3.2"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-c9f3-9wfr-wgh7"}],"prev":{"headline":"Uninitialized memory access in Eigen types in TensorFlow","id":"CVE-2020-26266"},"products":["tensorflow"],"published":"2020-12-10","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 uninitialized memory access and crashes in TensorFlow via invalid data format attributes, leading to denial of service or information disclosure.","url":"https://insights.sbomify.com/CVE-2020-26267/"}