{"answers":{"affected":"22 open source packages ship an affected version, including tensorflow, tensorflow-cpu and tensorflow-gpu. It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2022-29202 exists.","fix":"Upgrade tensorflow to a fixed version for your release line: 2.6.4, 2.7.2 or 2.8.1.","what":"CVE-2022-29202 is a medium-severity denial of service vulnerability in Google Tensorflow, published on 20 May 2022. 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-2022-29202 and fix it if it is affected.\n\nWhat it is: CVE-2022-29202 is a medium-severity denial of service vulnerability in Google Tensorflow, published on 20 May 2022. It can only be exploited from the same machine or local network, with no action from the victim.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2022-29202 exists.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected all versions; fixed in 2.6.4, 2.7.2, 2.8.1\n- tensorflow (PyPI): affected all versions; fixed in 2.6.4, 2.7.2, 2.8.1\n- tensorflow (PyPI): affected all versions; fixed in 2.6.4\n- tensorflow (PyPI): affected all versions; fixed in 2.6.4\n- tensorflow (PyPI): affected from 2.7.0; fixed in 2.7.2\n- tensorflow (PyPI): affected from 2.7.0; 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-cpu (PyPI): affected all versions; fixed in 2.6.4, 2.7.2, 2.8.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.6.4\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.6.4\n- tensorflow-cpu (PyPI): affected from 2.7.0; fixed in 2.7.2\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-2022-29202/ (Markdown: https://insights.sbomify.com/CVE-2022-29202/index.md)","id":"CVE-2022-29202","markdown":"https://insights.sbomify.com/CVE-2022-29202/index.md","name":"CVE-2022-29202","record":{"aliases":["BIT-tensorflow-2022-29202","GHSA-cwpm-f78v-7m5c","PYSEC-2026-3163","PYSEC-2026-3312","PYSEC-2026-983"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"TensorFlow machine learning library","requires_auth":"low_privilege","summary":"Attackers can cause a denial of service by exhausting memory through invalid inputs to tf.ragged.constant in TensorFlow.","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":5.5,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","version":"3.1"},"cwes":[{"id":"CWE-1284","name":"Improper Validation of Specified Quantity in Input"},{"id":"CWE-400","name":"Uncontrolled Resource Consumption"},{"id":"CWE-20","name":"Improper Input Validation"}],"description":"TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.ragged.constant` does not fully validate the input arguments. This results in a denial of service by consuming all available memory. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch 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":"weaponised"},"has_fix":true,"headline":"Denial of service in TensorFlow due to lack of validation in `tf.ragged.constant`","id":"CVE-2022-29202","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":8,"next":{"headline":"Integer overflow in `SpaceToBatchND` in TensorFlow","id":"CVE-2022-29203"},"packages":[{"ecosystem":"Bitnami","fixed":["2.6.4","2.7.2","2.8.1"],"introduced":["0","2.7.0","2.8.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2022-29202"},{"ecosystem":"PyPI","fixed":["2.6.4","2.7.2","2.8.1"],"introduced":["0","2.7.0","2.8.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2026-3163"},{"ecosystem":"PyPI","fixed":["2.6.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.6.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.6.4","2.7.2","2.8.1"],"introduced":["0","2.7.0","2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2026-3312"},{"ecosystem":"PyPI","fixed":["2.6.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.6.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.6.4","2.7.2","2.8.1"],"introduced":["0","2.7.0","2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2026-983"},{"ecosystem":"PyPI","fixed":["2.6.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.6.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.7.2"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-cwpm-f78v-7m5c"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-cwpm-f78v-7m5c"}],"prev":{"headline":"Missing validation in `QuantizedConv2D` results in undefined behavior in TensorFlow","id":"CVE-2022-29201"},"products":["tensorflow"],"published":"2022-05-20","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":"poc","technical_impact":"partial"},"state":"PUBLISHED","updated":"2025-04-22","vendors":["tensorflow"]},"summary":"Attackers can cause a denial of service by exhausting memory through invalid inputs to tf.ragged.constant in TensorFlow.","url":"https://insights.sbomify.com/CVE-2022-29202/"}