{"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-2023-25658 in the wild and no public exploit code.","fix":"Upgrade tensorflow to a fixed version for your release line: 2.12.0 or 2.11.1.","what":"CVE-2023-25658 is a high-severity memory corruption vulnerability in Google Tensorflow, published on 24 Mar 2023. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2023-25658 and fix it if it is affected.\n\nWhat it is: CVE-2023-25658 is a high-severity memory corruption vulnerability in Google Tensorflow, published on 24 Mar 2023. 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-2023-25658 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected all versions; fixed in 2.12.0\n- tensorflow (PyPI): affected all versions; fixed in 2.11.1\n- tensorflow (PyPI): affected all versions; fixed in 2.11.1\n- tensorflow (PyPI): affected all versions; fixed in 2.11.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.11.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.11.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.11.1\n- tensorflow-gpu (PyPI): affected all versions; fixed in 2.11.1\n- tensorflow-gpu (PyPI): affected all versions; fixed in 2.11.1\n- tensorflow-gpu (PyPI): affected all versions; fixed in 2.11.1\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-2023-25658/ (Markdown: https://insights.sbomify.com/CVE-2023-25658/index.md)","id":"CVE-2023-25658","markdown":"https://insights.sbomify.com/CVE-2023-25658/index.md","name":"CVE-2023-25658","record":{"aliases":["AZL-31199","AZL-35304","BIT-tensorflow-2023-25658","GHSA-68v3-g9cm-rmm6","PYSEC-2026-3120","PYSEC-2026-3286","PYSEC-2026-960"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service","data_read"],"network_reachable":"yes","non_default_config":false,"product_category":"TensorFlow ML library","requires_auth":"none","summary":"An out-of-bounds read in TensorFlow's GRUBlockCellGrad allows attackers to cause denial of service or disclose sensitive memory contents.","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":"cna","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":"TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, an out of bounds read is in GRUBlockCellGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1.","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":"TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad","id":"CVE-2023-25658","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"memory_corruption","year":"2023"},"n_packages":10,"n_references":2,"next":{"headline":"TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitch","id":"CVE-2023-25659"},"packages":[{"ecosystem":"Bitnami","fixed":["2.12.0"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2023-25658"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-68v3-g9cm-rmm6"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-68v3-g9cm-rmm6"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2026-3120"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-68v3-g9cm-rmm6"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-68v3-g9cm-rmm6"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2026-3286"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-68v3-g9cm-rmm6"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-68v3-g9cm-rmm6"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2026-960"}],"prev":{"headline":"Remote code execution in Jinja2 template rendering in Nautobot","id":"CVE-2023-25657"},"products":["tensorflow"],"published":"2023-03-24","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":"yes","exploitation":"none","technical_impact":"partial"},"state":"PUBLISHED","updated":"2025-02-19","vendors":["tensorflow"]},"summary":"An out-of-bounds read in TensorFlow's GRUBlockCellGrad allows attackers to cause denial of service or disclose sensitive memory contents.","url":"https://insights.sbomify.com/CVE-2023-25658/"}