{"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-2023-25670 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-2023-25670 is a high-severity 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-2023-25670 and fix it if it is affected.\n\nWhat it is: CVE-2023-25670 is a high-severity 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-2023-25670 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-2023-25670/ (Markdown: https://insights.sbomify.com/CVE-2023-25670/index.md)","id":"CVE-2023-25670","markdown":"https://insights.sbomify.com/CVE-2023-25670/index.md","name":"CVE-2023-25670","record":{"aliases":["AZL-31214","AZL-35315","BIT-tensorflow-2023-25670","GHSA-49rq-hwc3-x77w","PYSEC-2026-1955","PYSEC-2026-3098","PYSEC-2026-3271"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service"],"network_reachable":"yes","non_default_config":true,"product_category":"TensorFlow ML library","requires_auth":"none","summary":"A null pointer dereference in TensorFlow's QuantizedMatMulWithBiasAndDequantize operation can cause a denial of service when MKL is enabled.","user_interaction":"not_required","vuln_class":"null_dereference"},"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-476","name":"NULL Pointer Dereference"}],"description":"TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 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 has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize","id":"CVE-2023-25670","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"null_dereference","year":"2023"},"n_packages":10,"n_references":2,"next":{"headline":"TensorFlow has segmentation fault in tfg-translate","id":"CVE-2023-25671"},"packages":[{"ecosystem":"Bitnami","fixed":["2.12.0"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2023-25670"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-49rq-hwc3-x77w"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-49rq-hwc3-x77w"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2026-3098"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-49rq-hwc3-x77w"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-49rq-hwc3-x77w"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2026-3271"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-49rq-hwc3-x77w"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-49rq-hwc3-x77w"},{"ecosystem":"PyPI","fixed":["2.11.1"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2026-1955"}],"prev":{"headline":"TensorFlow has Floating Point Exception in AvgPoolGrad with XLA","id":"CVE-2023-25669"},"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":"A null pointer dereference in TensorFlow's QuantizedMatMulWithBiasAndDequantize operation can cause a denial of service when MKL is enabled.","url":"https://insights.sbomify.com/CVE-2023-25670/"}