{"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-2022-21728 exists.","fix":"Upgrade tensorflow to a fixed version for your release line: 2.5.3, 2.6.3 or 2.7.1.","what":"CVE-2022-21728 is a high-severity memory corruption 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-2022-21728 and fix it if it is affected.\n\nWhat it is: CVE-2022-21728 is a high-severity memory corruption 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-2022-21728 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-2022-21728/ (Markdown: https://insights.sbomify.com/CVE-2022-21728/index.md)","id":"CVE-2022-21728","markdown":"https://insights.sbomify.com/CVE-2022-21728/index.md","name":"CVE-2022-21728","record":{"aliases":["BIT-tensorflow-2022-21728","GHSA-6gmv-pjp9-p8w8","PYSEC-2022-107","PYSEC-2022-52","PYSEC-2026-3121"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["data_read","denial_of_service"],"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 ReverseSequence operation by providing a negative batch dimension, potentially leaking memory or crashing the application.","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":8.1,"severity":"high","source":"cna","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H","version":"3.1"},"cwes":[{"id":"CWE-125","name":"Out-of-bounds Read"}],"description":"Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. 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":"2022-04-28","github_poc":1,"max_poc_stars":0,"metasploit":0,"nuclei":0,"refs":[{"date":"2022-04-28T23:56:58Z","kind":"github_poc","ref":"https://github.com/mwina/CVE-2022-21728-test","stars":0,"title":null}],"tier":"weaponised"},"has_fix":true,"headline":"Out of bounds read in Tensorflow","id":"CVE-2022-21728","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":4,"next":{"headline":"Overflow and uncaught divide by zero in Tensorflow","id":"CVE-2022-21729"},"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-2022-21728"},{"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-2026-3121"},{"ecosystem":"PyPI","fixed":["2.5.3"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.5.3"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.6.3"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.6.3"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.7.1"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.7.1"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-6gmv-pjp9-p8w8"},{"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-2022-52"},{"ecosystem":"PyPI","fixed":["2.5.3"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.5.3"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.6.3"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.6.3"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.7.1"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.7.1"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-6gmv-pjp9-p8w8"},{"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-2022-107"},{"ecosystem":"PyPI","fixed":["2.5.3"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.5.3"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.6.3"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.6.3"],"introduced":["2.6.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.7.1"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-6gmv-pjp9-p8w8"},{"ecosystem":"PyPI","fixed":["2.7.1"],"introduced":["2.7.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-6gmv-pjp9-p8w8"}],"prev":{"headline":"Integer overflow in Tensorflow","id":"CVE-2022-21727"},"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)"},{"class":"open","licence":"CC0","name":"PoC-in-GitHub"}],"ssvc":{"automatable":"no","exploitation":"poc","technical_impact":"partial"},"state":"PUBLISHED","updated":"2025-05-05","vendors":["n/a"]},"summary":"An attacker can trigger a heap out-of-bounds read in TensorFlow's ReverseSequence operation by providing a negative batch dimension, potentially leaking memory or crashing the application.","url":"https://insights.sbomify.com/CVE-2022-21728/"}