{"answers":{"affected":"8 open source packages ship an affected version, including tensorflow. It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2022-41894 exists.","fix":"Upgrade tensorflow to a fixed version for your release line: 2.8.4, 2.9.3 or 2.10.1.","what":"CVE-2022-41894 is a high-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-2022-41894 and fix it if it is affected.\n\nWhat it is: CVE-2022-41894 is a high-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-2022-41894 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\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-2022-41894/ (Markdown: https://insights.sbomify.com/CVE-2022-41894/index.md)","id":"CVE-2022-41894","markdown":"https://insights.sbomify.com/CVE-2022-41894/index.md","name":"CVE-2022-41894","record":{"aliases":["AZL-11532","BIT-tensorflow-2022-41894","GHSA-h6q3-vv32-2cq5","PYSEC-2026-936"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["code_execution"],"network_reachable":"yes","non_default_config":true,"product_category":"TensorFlow Lite","requires_auth":"low_privilege","summary":"An attacker can trigger a buffer overflow in TensorFlow Lite's CONV_3D_TRANSPOSE operator by crafting a malicious model, potentially leading to arbitrary code execution.","user_interaction":"required","vuln_class":"memory_corruption"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"tensorflow","vendor":"google"}],"cvss":{"score":7.1,"severity":"high","source":"cna","vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-120","name":"Buffer Copy without Checking Size of Input"}],"description":"TensorFlow is an open source platform for machine learning. The reference kernel of the `CONV_3D_TRANSPOSE` TensorFlow Lite operator wrongly increments the data_ptr when adding the bias to the result. Instead of `data_ptr += num_channels;` it should be `data_ptr += output_num_channels;` as if the number of input channels is different than the number of output channels, the wrong result will be returned and a buffer overflow will occur if num_channels \u003e output_num_channels. An attacker can craft a model with a specific number of input channels. It is then possible to write specific values through the bias of the layer outside the bounds of the buffer. This attack only works if the reference kernel resolver is used in the interpreter. We have patched the issue in GitHub commit 72c0bdcb25305b0b36842d746cc61d72658d2941. 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":"Buffer overflow in `CONV_3D_TRANSPOSE` on TFLite","id":"CVE-2022-41894","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"memory_corruption","year":"2022"},"n_packages":8,"n_references":3,"next":{"headline":"`MirrorPadGrad` heap out of bounds read in Tensorflow","id":"CVE-2022-41895"},"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-2022-41894"},{"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-2026-936"},{"ecosystem":"PyPI","fixed":["2.8.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-h6q3-vv32-2cq5"},{"ecosystem":"PyPI","fixed":["2.8.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-h6q3-vv32-2cq5"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-h6q3-vv32-2cq5"},{"ecosystem":"PyPI","fixed":["2.10.1"],"introduced":["2.10.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-h6q3-vv32-2cq5"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-h6q3-vv32-2cq5"},{"ecosystem":"PyPI","fixed":["2.9.3"],"introduced":["2.9.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-h6q3-vv32-2cq5"}],"prev":{"headline":"`CHECK_EQ` fail in `tf.raw_ops.TensorListResize` in Tensorflow","id":"CVE-2022-41893"},"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":"total"},"state":"PUBLISHED","updated":"2025-04-22","vendors":["tensorflow"]},"summary":"An attacker can trigger a buffer overflow in TensorFlow Lite's CONV_3D_TRANSPOSE operator by crafting a malicious model, potentially leading to arbitrary code execution.","url":"https://insights.sbomify.com/CVE-2022-41894/"}