{"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-2020-26268 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-2020-26268 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-2020-26268 and fix it if it is affected.\n\nWhat it is: CVE-2020-26268 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-2020-26268 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-2020-26268/ (Markdown: https://insights.sbomify.com/CVE-2020-26268/index.md)","id":"CVE-2020-26268","markdown":"https://insights.sbomify.com/CVE-2020-26268/index.md","name":"CVE-2020-26268","record":{"aliases":["BIT-tensorflow-2020-26268","GHSA-hhvc-g5hv-48c6","PYSEC-2020-255","PYSEC-2020-299","PYSEC-2020-334"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"TensorFlow library","requires_auth":"low_privilege","summary":"An attacker can cause a segmentation fault and crash the Python interpreter by using tf.raw_ops.ImmutableConst with non-integral types on memory-mapped files.","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-471","name":"Modification of Assumed-Immutable Data (MAID)"}],"description":"In affected versions of TensorFlow the tf.raw_ops.ImmutableConst operation returns a constant tensor created from a memory mapped file which is assumed immutable. However, if the type of the tensor is not an integral type, the operation crashes the Python interpreter as it tries to write to the memory area. If the file is too small, TensorFlow properly returns an error as the memory area has fewer bytes than what is needed for the tensor it creates. However, as soon as there are enough bytes, the above snippet causes a segmentation fault. This is because the allocator used to return the buffer data is not marked as returning an opaque handle since the needed virtual method is not overridden. 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":"Write to immutable memory region in TensorFlow","id":"CVE-2020-26268","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":"Heap out of bounds read in filesystem glob matching in TensorFlow","id":"CVE-2020-26269"},"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-2020-26268"},{"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-2020-255"},{"ecosystem":"PyPI","fixed":["1.15.5"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["1.15.5"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.0.4"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.0.4"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.1.3"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.1.3"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.2.2"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.2.2"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.3.2"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.3.2"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-hhvc-g5hv-48c6"},{"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-2020-299"},{"ecosystem":"PyPI","fixed":["1.15.5"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["1.15.5"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.0.4"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.0.4"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.1.3"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.1.3"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.2.2"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.2.2"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.3.2"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.3.2"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-hhvc-g5hv-48c6"},{"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-2020-334"},{"ecosystem":"PyPI","fixed":["1.15.5"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["1.15.5"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.0.4"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.0.4"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.1.3"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.1.3"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.2.2"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.2.2"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.3.2"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-hhvc-g5hv-48c6"},{"ecosystem":"PyPI","fixed":["2.3.2"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-hhvc-g5hv-48c6"}],"prev":{"headline":"Lack of validation in data format attributes in TensorFlow","id":"CVE-2020-26267"},"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":"An attacker can cause a segmentation fault and crash the Python interpreter by using tf.raw_ops.ImmutableConst with non-integral types on memory-mapped files.","url":"https://insights.sbomify.com/CVE-2020-26268/"}