{"answers":{"affected":"22 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-2022-36012 in the wild and no public exploit code.","fix":"Upgrade tensorflow to a fixed version for your release line: 2.7.2, 2.8.1 or 2.9.1.","what":"CVE-2022-36012 is a medium-severity denial of service vulnerability in Google Tensorflow, published on 16 Sep 2022. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2022-36012 and fix it if it is affected.\n\nWhat it is: CVE-2022-36012 is a medium-severity denial of service vulnerability in Google Tensorflow, published on 16 Sep 2022. 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-2022-36012 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected all versions; fixed in 2.7.2, 2.8.1, 2.9.1\n- tensorflow (PyPI): affected all versions; fixed in 2.7.2, 2.8.1, 2.9.1\n- tensorflow (PyPI): affected all versions; fixed in 2.7.2\n- tensorflow (PyPI): affected all versions; fixed in 2.7.2\n- tensorflow (PyPI): affected from 2.8.0; fixed in 2.8.1\n- tensorflow (PyPI): affected from 2.8.0; fixed in 2.8.1\n- tensorflow (PyPI): affected from 2.9.0; fixed in 2.9.1\n- tensorflow (PyPI): affected from 2.9.0; fixed in 2.9.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.7.2, 2.8.1, 2.9.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.7.2\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.7.2\n- tensorflow-cpu (PyPI): affected from 2.8.0; fixed in 2.8.1\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-2022-36012/ (Markdown: https://insights.sbomify.com/CVE-2022-36012/index.md)","id":"CVE-2022-36012","markdown":"https://insights.sbomify.com/CVE-2022-36012/index.md","name":"CVE-2022-36012","record":{"aliases":["BIT-tensorflow-2022-36012","GHSA-jvhc-5hhr-w3v5","PYSEC-2026-1015","PYSEC-2026-3210","PYSEC-2026-3347"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service"],"network_reachable":"yes","non_default_config":false,"product_category":"TensorFlow ML library","requires_auth":"none","summary":"An attacker can cause a denial of service by triggering an assertion failure in TensorFlow's MLIR component with empty edge names.","user_interaction":"not_required","vuln_class":"denial_of_service"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"tensorflow","vendor":"google"}],"cvss":{"score":5.9,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H","version":"3.1"},"cwes":[{"id":"CWE-617","name":"Reachable Assertion"}],"description":"TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it crashes. We have patched the issue in GitHub commit ad069af92392efee1418c48ff561fd3070a03d7b. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.","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":"Assertion fail on MLIR empty edge names in TensorFlow","id":"CVE-2022-36012","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"denial_of_service","year":"2022"},"n_packages":22,"n_references":3,"next":{"headline":"Null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef` in TensorFlow","id":"CVE-2022-36013"},"packages":[{"ecosystem":"Bitnami","fixed":["2.7.2","2.8.1","2.9.1"],"introduced":["0","2.8.0","2.9.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2022-36012"},{"ecosystem":"PyPI","fixed":["2.7.2","2.8.1","2.9.1"],"introduced":["0","2.8.0","2.9.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2026-3210"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.7.2","2.8.1","2.9.1"],"introduced":["0","2.8.0","2.9.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2026-3347"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.7.2","2.8.1","2.9.1"],"introduced":["0","2.8.0","2.9.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2026-1015"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-jvhc-5hhr-w3v5"},{"ecosystem":"PyPI","fixed":["2.9.1"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-jvhc-5hhr-w3v5"}],"prev":{"headline":"Null dereference on MLIR on empty function attributes in TensorFlow","id":"CVE-2022-36011"},"products":["tensorflow"],"published":"2022-09-16","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":"no","exploitation":"none","technical_impact":"partial"},"state":"PUBLISHED","updated":"2025-04-23","vendors":["tensorflow"]},"summary":"An attacker can cause a denial of service by triggering an assertion failure in TensorFlow's MLIR component with empty edge names.","url":"https://insights.sbomify.com/CVE-2022-36012/"}