{"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-2021-41195 in the wild and no public exploit code.","fix":"Upgrade tensorflow to a fixed version for your release line: 2.4.4, 2.5.2 or 2.6.1.","what":"CVE-2021-41195 is a medium-severity vulnerability in Google Tensorflow, published on 5 Nov 2021. 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-2021-41195 and fix it if it is affected.\n\nWhat it is: CVE-2021-41195 is a medium-severity vulnerability in Google Tensorflow, published on 5 Nov 2021. 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-2021-41195 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected all versions; fixed in 2.4.4, 2.5.2, 2.6.1\n- tensorflow (PyPI): affected all versions; fixed in 2.4.4, 2.5.2, 2.6.1\n- tensorflow (PyPI): affected all versions; fixed in 2.4.4\n- tensorflow (PyPI): affected all versions; fixed in 2.4.4\n- tensorflow (PyPI): affected from 2.5.0; fixed in 2.5.2\n- tensorflow (PyPI): affected from 2.5.0; fixed in 2.5.2\n- tensorflow (PyPI): affected from 2.6.0; fixed in 2.6.1\n- tensorflow (PyPI): affected from 2.6.0; fixed in 2.6.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.4.4, 2.5.2, 2.6.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.4.4\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.4.4\n- tensorflow-cpu (PyPI): affected from 2.5.0; fixed in 2.5.2\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-2021-41195/ (Markdown: https://insights.sbomify.com/CVE-2021-41195/index.md)","id":"CVE-2021-41195","markdown":"https://insights.sbomify.com/CVE-2021-41195/index.md","name":"CVE-2021-41195","record":{"aliases":["BIT-tensorflow-2021-41195","GHSA-cq76-mxrc-vchh","PYSEC-2021-842","PYSEC-2021-844","PYSEC-2021-846"],"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":"An attacker can cause a denial of service in TensorFlow by triggering an integer overflow in segment operations, leading to an application crash.","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":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-190","name":"Integer Overflow or Wraparound"}],"description":"TensorFlow is an open source platform for machine learning. In affected versions the implementation of `tf.math.segment_*` operations results in a `CHECK`-fail related abort (and denial of service) if a segment id in `segment_ids` is large. This is similar to CVE-2021-29584 (and similar other reported vulnerabilities in TensorFlow, localized to specific APIs): the implementation (both on CPU and GPU) computes the output shape using `AddDim`. However, if the number of elements in the tensor overflows an `int64_t` value, `AddDim` results in a `CHECK` failure which provokes a `std::abort`. Instead, code should use `AddDimWithStatus`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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":"none_known"},"has_fix":true,"headline":"Crash in `tf.math.segment_*` operations","id":"CVE-2021-41195","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"integer_overflow","year":"2021"},"n_packages":22,"n_references":4,"next":{"headline":"Crash in `max_pool3d` when size argument is 0 or negative","id":"CVE-2021-41196"},"packages":[{"ecosystem":"Bitnami","fixed":["2.4.4","2.5.2","2.6.1"],"introduced":["0","2.5.0","2.6.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2021-41195"},{"ecosystem":"PyPI","fixed":["2.4.4","2.5.2","2.6.1"],"introduced":["0","2.5.0","2.6.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2021-842"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.4.4","2.5.2","2.6.1"],"introduced":["0","2.5.0","2.6.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2021-844"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.4.4","2.5.2","2.6.1"],"introduced":["0","2.5.0","2.6.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2021-846"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.4.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.5.2"],"introduced":["2.5.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-cq76-mxrc-vchh"},{"ecosystem":"PyPI","fixed":["2.6.1"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-cq76-mxrc-vchh"}],"prev":{"headline":"Improper Access Control in jupyterhub-firstuseauthenticator","id":"CVE-2021-41194"},"products":["tensorflow"],"published":"2021-11-05","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":null,"exploitation":null,"technical_impact":null},"state":"PUBLISHED","updated":"2024-08-04","vendors":["tensorflow"]},"summary":"An attacker can cause a denial of service in TensorFlow by triggering an integer overflow in segment operations, leading to an application crash.","url":"https://insights.sbomify.com/CVE-2021-41195/"}