{"answers":{"affected":"10 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-2020-26269 in the wild and no public exploit code.","fix":"Upgrade tensorflow to 2.4.0 or later.","what":"CVE-2020-26269 is a high-severity memory corruption vulnerability in Google Tensorflow, published on 10 Dec 2020. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2020-26269 and fix it if it is affected.\n\nWhat it is: CVE-2020-26269 is a high-severity memory corruption vulnerability in Google Tensorflow, published on 10 Dec 2020. An attacker can exploit it over the internet without logging in, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2020-26269 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected from 2.4.0-rc0; fixed in 2.4.0, 2.4.0, 2.4.0, 2.4.0, 2.4.0\n- tensorflow (PyPI): affected from 2.4.0rc0; fixed in 2.4.0\n- tensorflow (PyPI): affected from 2.4.0rc0; fixed in 2.4.0\n- tensorflow (PyPI): affected from 2.4.0rc0; fixed in 2.4.0\n- tensorflow-cpu (PyPI): affected from 2.4.0rc0; fixed in 2.4.0\n- tensorflow-cpu (PyPI): affected from 2.4.0rc0; fixed in 2.4.0\n- tensorflow-cpu (PyPI): affected from 2.4.0rc0; fixed in 2.4.0\n- tensorflow-gpu (PyPI): affected from 2.4.0rc0; fixed in 2.4.0\n- tensorflow-gpu (PyPI): affected from 2.4.0rc0; fixed in 2.4.0\n- tensorflow-gpu (PyPI): affected from 2.4.0rc0; fixed in 2.4.0\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-2020-26269/ (Markdown: https://insights.sbomify.com/CVE-2020-26269/index.md)","id":"CVE-2020-26269","markdown":"https://insights.sbomify.com/CVE-2020-26269/index.md","name":"CVE-2020-26269","record":{"aliases":["BIT-tensorflow-2020-26269","GHSA-9jjw-hf72-3mxw","PYSEC-2020-141","PYSEC-2020-300","PYSEC-2020-335"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service","data_read"],"network_reachable":"yes","non_default_config":false,"product_category":"TensorFlow library","requires_auth":"none","summary":"An attacker can trigger a heap out-of-bounds read in TensorFlow's glob matching, potentially causing crashes or leaking memory.","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":7.5,"severity":"high","source":"nvd","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","version":"3.1"},"cwes":[{"id":"CWE-125","name":"Out-of-bounds Read"}],"description":"In TensorFlow release candidate versions 2.4.0rc*, the general implementation for matching filesystem paths to globbing pattern is vulnerable to an access out of bounds of the array holding the directories. There are multiple invariants and preconditions that are assumed by the parallel implementation of GetMatchingPaths but are not verified by the PRs introducing it (#40861 and #44310). Thus, we are completely rewriting the implementation to fully specify and validate these. This is patched in version 2.4.0. This issue only impacts master branch and the release candidates for TF version 2.4. The final release of the 2.4 release will be patched.","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 out of bounds read in filesystem glob matching in TensorFlow","id":"CVE-2020-26269","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"memory_corruption","year":"2020"},"n_packages":10,"n_references":2,"next":{"headline":"CHECK-fail in LSTM with zero-length input in TensorFlow","id":"CVE-2020-26270"},"packages":[{"ecosystem":"Bitnami","fixed":["2.4.0","2.4.0","2.4.0","2.4.0","2.4.0"],"introduced":["2.4.0-rc0","2.4.0-rc1","2.4.0-rc2","2.4.0-rc3","2.4.0-rc4"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2020-26269"},{"ecosystem":"PyPI","fixed":["2.4.0"],"introduced":["2.4.0rc0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-9jjw-hf72-3mxw"},{"ecosystem":"PyPI","fixed":["2.4.0"],"introduced":["2.4.0rc0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-9jjw-hf72-3mxw"},{"ecosystem":"PyPI","fixed":["2.4.0"],"introduced":["2.4.0rc0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2020-141"},{"ecosystem":"PyPI","fixed":["2.4.0"],"introduced":["2.4.0rc0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-9jjw-hf72-3mxw"},{"ecosystem":"PyPI","fixed":["2.4.0"],"introduced":["2.4.0rc0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-9jjw-hf72-3mxw"},{"ecosystem":"PyPI","fixed":["2.4.0"],"introduced":["2.4.0rc0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2020-300"},{"ecosystem":"PyPI","fixed":["2.4.0"],"introduced":["2.4.0rc0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-9jjw-hf72-3mxw"},{"ecosystem":"PyPI","fixed":["2.4.0"],"introduced":["2.4.0rc0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-9jjw-hf72-3mxw"},{"ecosystem":"PyPI","fixed":["2.4.0"],"introduced":["2.4.0rc0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2020-335"}],"prev":{"headline":"Write to immutable memory region in TensorFlow","id":"CVE-2020-26268"},"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 trigger a heap out-of-bounds read in TensorFlow's glob matching, potentially causing crashes or leaking memory.","url":"https://insights.sbomify.com/CVE-2020-26269/"}