{"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-2022-29210 in the wild and no public exploit code.","fix":"Upgrade tensorflow to 2.8.1 or later.","what":"CVE-2022-29210 is a medium-severity memory corruption 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-2022-29210 and fix it if it is affected.\n\nWhat it is: CVE-2022-29210 is a medium-severity memory corruption 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: There is no known exploitation of CVE-2022-29210 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): 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 2.8.0; fixed in 2.8.1\n- tensorflow (PyPI): affected from 2.8.0; fixed in 2.8.1\n- tensorflow-cpu (PyPI): affected from 2.8.0; fixed in 2.8.1\n- tensorflow-cpu (PyPI): affected from 2.8.0; fixed in 2.8.1\n- tensorflow-cpu (PyPI): affected from 2.8.0; fixed in 2.8.1\n- tensorflow-gpu (PyPI): affected from 2.8.0; fixed in 2.8.1\n- tensorflow-gpu (PyPI): affected from 2.8.0; fixed in 2.8.1\n- tensorflow-gpu (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-2022-29210/ (Markdown: https://insights.sbomify.com/CVE-2022-29210/index.md)","id":"CVE-2022-29210","markdown":"https://insights.sbomify.com/CVE-2022-29210/index.md","name":"CVE-2022-29210","record":{"aliases":["BIT-tensorflow-2022-29210","GHSA-hc2f-7r5r-r2hg","PYSEC-2026-1007","PYSEC-2026-3200","PYSEC-2026-3339"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["code_execution","denial_of_service"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"TensorFlow ML library","requires_auth":"low_privilege","summary":"A heap buffer overflow in TensorFlow's TensorKey hash function allows attackers to cause crashes or potentially execute arbitrary code via crafted tensors.","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":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-787","name":"Out-of-bounds Write"},{"id":"CWE-122","name":"Heap-based Buffer Overflow"},{"id":"CWE-120","name":"Buffer Copy without Checking Size of Input"}],"description":"TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.","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":"Heap buffer overflow due to incorrect hash function in TensorFlow","id":"CVE-2022-29210","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"memory_corruption","year":"2022"},"n_packages":10,"n_references":5,"next":{"headline":"Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values","id":"CVE-2022-29211"},"packages":[{"ecosystem":"Bitnami","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2022-29210"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-hc2f-7r5r-r2hg"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-hc2f-7r5r-r2hg"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2026-3200"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-hc2f-7r5r-r2hg"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-hc2f-7r5r-r2hg"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2026-3339"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-hc2f-7r5r-r2hg"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-hc2f-7r5r-r2hg"},{"ecosystem":"PyPI","fixed":["2.8.1"],"introduced":["2.8.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2026-1007"}],"prev":{"headline":"Type confusion leading to `CHECK`-failure based denial of service in TensorFlow","id":"CVE-2022-29209"},"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":"none","technical_impact":"partial"},"state":"PUBLISHED","updated":"2025-04-23","vendors":["tensorflow"]},"summary":"A heap buffer overflow in TensorFlow's TensorKey hash function allows attackers to cause crashes or potentially execute arbitrary code via crafted tensors.","url":"https://insights.sbomify.com/CVE-2022-29210/"}