{"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-2022-41895 exists.","fix":"Upgrade tensorflow to a fixed version for your release line: 2.8.4, 2.9.3 or 2.10.1.","what":"CVE-2022-41895 is a medium-severity memory corruption vulnerability in Google Tensorflow, published on 18 Nov 2022. Any signed-in user can exploit it over the network, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2022-41895 and fix it if it is affected.\n\nWhat it is: CVE-2022-41895 is a medium-severity memory corruption vulnerability in Google Tensorflow, published on 18 Nov 2022. Any signed-in user can exploit it over the network, and only if a user opens a file or follows a link.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2022-41895 exists.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected all versions; fixed in 2.8.4, 2.9.3, 2.10.1\n- tensorflow (PyPI): affected all versions; fixed in 2.8.4, 2.9.3, 2.10.1\n- tensorflow (PyPI): affected all versions; fixed in 2.8.4\n- tensorflow (PyPI): affected all versions; fixed in 2.8.4\n- tensorflow (PyPI): affected from 2.10.0; fixed in 2.10.1\n- tensorflow (PyPI): affected from 2.10.0; fixed in 2.10.1\n- tensorflow (PyPI): affected from 2.9.0; fixed in 2.9.3\n- tensorflow (PyPI): affected from 2.9.0; fixed in 2.9.3\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.8.4, 2.9.3, 2.10.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.8.4\n- tensorflow-cpu (PyPI): affected all versions; fixed in 2.8.4\n- tensorflow-cpu (PyPI): affected from 2.10.0; fixed in 2.10.1\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-2022-41895/ (Markdown: https://insights.sbomify.com/CVE-2022-41895/index.md)","id":"CVE-2022-41895","markdown":"https://insights.sbomify.com/CVE-2022-41895/index.md","name":"CVE-2022-41895","record":{"aliases":["AZL-11533","BIT-tensorflow-2022-41895","GHSA-gq2j-cr96-gvqx","PYSEC-2026-1000","PYSEC-2026-3192","PYSEC-2026-3332"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service","data_read"],"network_reachable":"yes","non_default_config":false,"product_category":"TensorFlow ML library","requires_auth":"low_privilege","summary":"An attacker can trigger a heap out-of-bounds read in TensorFlow's MirrorPadGrad operation via oversized padding inputs, potentially causing crashes or information disclosure.","user_interaction":"required","vuln_class":"memory_corruption"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"tensorflow","vendor":"google"}],"cvss":{"score":4.8,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H","version":"3.1"},"cwes":[{"id":"CWE-125","name":"Out-of-bounds Read"}],"description":"TensorFlow is an open source platform for machine learning. If `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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":"weaponised"},"has_fix":true,"headline":"`MirrorPadGrad` heap out of bounds read in Tensorflow","id":"CVE-2022-41895","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"memory_corruption","year":"2022"},"n_packages":22,"n_references":3,"next":{"headline":"`tf.raw_ops.Mfcc` crashes in Tensorflow","id":"CVE-2022-41896"},"packages":[{"ecosystem":"Bitnami","fixed":["2.8.4","2.9.3","2.10.1"],"introduced":["0","2.9.0","2.10.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2022-41895"},{"ecosystem":"PyPI","fixed":["2.8.4","2.9.3","2.10.1"],"introduced":["0","2.9.0","2.10.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2026-3192"},{"ecosystem":"PyPI","fixed":["2.8.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.8.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.8.4","2.9.3","2.10.1"],"introduced":["0","2.9.0","2.10.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2026-3332"},{"ecosystem":"PyPI","fixed":["2.8.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.8.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.8.4","2.9.3","2.10.1"],"introduced":["0","2.9.0","2.10.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2026-1000"},{"ecosystem":"PyPI","fixed":["2.8.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.8.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-gq2j-cr96-gvqx"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-gq2j-cr96-gvqx"}],"prev":{"headline":"Buffer overflow in `CONV_3D_TRANSPOSE` on TFLite","id":"CVE-2022-41894"},"products":["tensorflow"],"published":"2022-11-18","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":"An attacker can trigger a heap out-of-bounds read in TensorFlow's MirrorPadGrad operation via oversized padding inputs, potentially causing crashes or information disclosure.","url":"https://insights.sbomify.com/CVE-2022-41895/"}