{"answers":{"affected":"34 open source packages ship an affected version, including tensorflow, tensorflow-cpu and tensorflow-gpu. It affects 2 products.","exploited":"There is no known exploitation of CVE-2020-15206 in the wild and no public exploit code.","fix":"Upgrade tensorflow to a fixed version for your release line: 1.15.4, 2.0.3, 2.1.2 or 2.2.1.","what":"CVE-2020-15206 is a critical denial of service vulnerability in Google Tensorflow, published on 25 Sep 2020. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2020-15206 and fix it if it is affected.\n\nWhat it is: CVE-2020-15206 is a critical denial of service vulnerability in Google Tensorflow, published on 25 Sep 2020. An attacker can exploit it over the internet without logging in, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2020-15206 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected all versions; fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1\n- tensorflow (PyPI): affected all versions; fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1\n- tensorflow (PyPI): affected all versions; fixed in 1.15.4\n- tensorflow (PyPI): affected all versions; fixed in 1.15.4\n- tensorflow (PyPI): affected from 2.0.0; fixed in 2.0.3\n- tensorflow (PyPI): affected from 2.0.0; fixed in 2.0.3\n- tensorflow (PyPI): affected from 2.1.0; fixed in 2.1.2\n- tensorflow (PyPI): affected from 2.1.0; fixed in 2.1.2\n- tensorflow (PyPI): affected from 2.2.0; fixed in 2.2.1\n- tensorflow (PyPI): affected from 2.2.0; fixed in 2.2.1\n- tensorflow (PyPI): affected from 2.3.0; fixed in 2.3.1\n- tensorflow (PyPI): affected from 2.3.0; fixed in 2.3.1\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-2020-15206/ (Markdown: https://insights.sbomify.com/CVE-2020-15206/index.md)","id":"CVE-2020-15206","markdown":"https://insights.sbomify.com/CVE-2020-15206/index.md","name":"CVE-2020-15206","record":{"aliases":["BIT-tensorflow-2020-15206","GHSA-w5gh-2wr2-pm6g","PYSEC-2020-129","PYSEC-2020-286","PYSEC-2020-321"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service"],"network_reachable":"yes","non_default_config":false,"product_category":"TensorFlow machine learning library","requires_auth":"none","summary":"Attackers can cause denial of service and data corruption in TensorFlow by manipulating SavedModel protocol buffers, affecting inference services.","user_interaction":"not_required","vuln_class":"denial_of_service"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"tensorflow","vendor":"google"},{"product":"leap","vendor":"opensuse"}],"cvss":{"score":9,"severity":"critical","source":"cna","vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-20","name":"Improper Input Validation"}],"description":"In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.","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":"Denial of Service in Tensorflow","id":"CVE-2020-15206","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow","opensuse:leap"],"type":"denial_of_service","year":"2020"},"n_packages":34,"n_references":4,"next":{"headline":"Segfault and data corruption in tensorflow-lite","id":"CVE-2020-15207"},"packages":[{"ecosystem":"Bitnami","fixed":["1.15.4","2.0.3","2.1.2","2.2.1","2.3.1"],"introduced":["0","2.0.0","2.1.0","2.2.0","2.3.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2020-15206"},{"ecosystem":"PyPI","fixed":["1.15.4","2.0.3","2.1.2","2.2.1","2.3.1"],"introduced":["0","2.0.0","2.1.0","2.2.0","2.3.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2020-129"},{"ecosystem":"PyPI","fixed":["1.15.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["1.15.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.0.3"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.0.3"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.1.2"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.1.2"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.2.1"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.2.1"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.3.1"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.3.1"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["1.15.4","2.0.3","2.1.2","2.2.1","2.3.1"],"introduced":["0","2.0.0","2.1.0","2.2.0","2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2020-286"},{"ecosystem":"PyPI","fixed":["1.15.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["1.15.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.0.3"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.0.3"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.1.2"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.1.2"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.2.1"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.2.1"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.3.1"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.3.1"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["1.15.4","2.0.3","2.1.2","2.2.1","2.3.1"],"introduced":["0","2.0.0","2.1.0","2.2.0","2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2020-321"},{"ecosystem":"PyPI","fixed":["1.15.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["1.15.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.0.3"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.0.3"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.1.2"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.1.2"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.2.1"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.2.1"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.3.1"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-w5gh-2wr2-pm6g"},{"ecosystem":"PyPI","fixed":["2.3.1"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-w5gh-2wr2-pm6g"}],"prev":{"headline":"Data leak in Tensorflow","id":"CVE-2020-15205"},"products":["tensorflow"],"published":"2020-09-25","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"}],"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":"Attackers can cause denial of service and data corruption in TensorFlow by manipulating SavedModel protocol buffers, affecting inference services.","url":"https://insights.sbomify.com/CVE-2020-15206/"}