{"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-2022-21727 exists.","fix":"Upgrade tensorflow to a fixed version for your release line: 2.5.3, 2.6.3 or 2.7.1.","what":"CVE-2022-21727 is a high-severity vulnerability in Google Tensorflow, published on 3 Feb 2022. Any signed-in user can exploit it over the network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2022-21727 and fix it if it is affected.\n\nWhat it is: CVE-2022-21727 is a high-severity vulnerability in Google Tensorflow, published on 3 Feb 2022. Any signed-in user can exploit it over the network, with no action from the victim.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2022-21727 exists.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected all versions; fixed in 2.5.3, 2.6.3, 2.7.1\n- tensorflow (PyPI): affected all versions; fixed in 2.5.3, 2.6.3, 2.7.1\n- tensorflow (PyPI): affected all versions; fixed in 2.5.3\n- tensorflow (PyPI): affected all versions; fixed in 2.5.3\n- tensorflow (PyPI): affected from 2.6.0; fixed in 2.6.3\n- tensorflow (PyPI): affected from 2.6.0; fixed in 2.6.3\n- tensorflow (PyPI): affected from 2.7.0; fixed in 2.7.1\n- tensorflow (PyPI): affected from 2.7.0; fixed in 2.7.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.5.3, 2.6.3\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.5.3\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.5.3\n- tensorflow-cpu (PyPI): affected from 2.6.0; fixed in 2.6.3\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-2022-21727/ (Markdown: https://insights.sbomify.com/CVE-2022-21727/index.md)","id":"CVE-2022-21727","markdown":"https://insights.sbomify.com/CVE-2022-21727/index.md","name":"CVE-2022-21727","record":{"aliases":["BIT-tensorflow-2022-21727","GHSA-c6fh-56w7-fvjw","PYSEC-2022-106","PYSEC-2022-51","PYSEC-2026-3159"],"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":"low_privilege","summary":"An integer overflow in TensorFlow's Dequantize shape inference allows attackers to cause a denial of service via crafted input.","user_interaction":"not_required","vuln_class":"integer_overflow"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"tensorflow","vendor":"google"}],"cvss":{"score":7.6,"severity":"high","source":"cna","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H","version":"3.1"},"cwes":[{"id":"CWE-190","name":"Integer Overflow or Wraparound"}],"description":"Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.","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":"Integer overflow in Tensorflow","id":"CVE-2022-21727","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"integer_overflow","year":"2022"},"n_packages":22,"n_references":3,"next":{"headline":"Out of bounds read in Tensorflow","id":"CVE-2022-21728"},"packages":[{"ecosystem":"Bitnami","fixed":["2.5.3","2.6.3","2.7.1"],"introduced":["0","2.6.0","2.7.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2022-21727"},{"ecosystem":"PyPI","fixed":["2.5.3","2.6.3","2.7.1"],"introduced":["0","2.6.0","2.7.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2026-3159"},{"ecosystem":"PyPI","fixed":["2.5.3"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.5.3"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.6.3"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.6.3"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.7.1"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.7.1"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.5.3","2.6.3"],"introduced":["0","2.6.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2022-51"},{"ecosystem":"PyPI","fixed":["2.5.3"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.5.3"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.6.3"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.6.3"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.7.1"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.7.1"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.5.3","2.6.3"],"introduced":["0","2.6.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2022-106"},{"ecosystem":"PyPI","fixed":["2.5.3"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.5.3"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.6.3"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.6.3"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.7.1"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-c6fh-56w7-fvjw"},{"ecosystem":"PyPI","fixed":["2.7.1"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-c6fh-56w7-fvjw"}],"prev":{"headline":"Out of bounds read in Tensorflow","id":"CVE-2022-21726"},"products":["n/a"],"published":"2022-02-03","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":"2025-05-05","vendors":["n/a"]},"summary":"An integer overflow in TensorFlow's Dequantize shape inference allows attackers to cause a denial of service via crafted input.","url":"https://insights.sbomify.com/CVE-2022-21727/"}