{"answers":{"affected":"16 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-2020-5215 in the wild and no public exploit code.","fix":"Upgrade tensorflow to a fixed version for your release line: 1.15.2 or 2.0.1.","what":"CVE-2020-5215 is a medium-severity denial of service vulnerability in Google Tensorflow, published on 28 Jan 2020. It can only be exploited from the same machine or local network, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2020-5215 and fix it if it is affected.\n\nWhat it is: CVE-2020-5215 is a medium-severity denial of service vulnerability in Google Tensorflow, published on 28 Jan 2020. It can only be exploited from the same machine or local network, and only if a user opens a file or follows a link.\nExploitation: There is no known exploitation of CVE-2020-5215 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected all versions; fixed in 1.15.2, 2.0.1\n- tensorflow (PyPI): affected all versions; fixed in 1.15.2, 2.0.1\n- tensorflow (PyPI): affected all versions; fixed in 1.15.2\n- tensorflow (PyPI): affected all versions; fixed in 1.15.2\n- tensorflow (PyPI): affected from 2.0.0; fixed in 2.0.1\n- tensorflow (PyPI): affected from 2.0.0; fixed in 2.0.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 1.15.2, 2.0.1\n- tensorflow-cpu (PyPI): affected all versions; fixed in 1.15.2\n- tensorflow-cpu (PyPI): affected all versions; fixed in 1.15.2\n- tensorflow-cpu (PyPI): affected from 2.0.0; fixed in 2.0.1\n- tensorflow-cpu (PyPI): affected from 2.0.0; fixed in 2.0.1\n- tensorflow-gpu (PyPI): affected all versions; fixed in 1.15.2, 2.0.1\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-2020-5215/ (Markdown: https://insights.sbomify.com/CVE-2020-5215/index.md)","id":"CVE-2020-5215","markdown":"https://insights.sbomify.com/CVE-2020-5215/index.md","name":"CVE-2020-5215","record":{"aliases":["BIT-tensorflow-2020-5215","GHSA-977j-xj7q-2jr9","PYSEC-2020-258","PYSEC-2020-303","PYSEC-2020-338"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"TensorFlow library","requires_auth":"low_privilege","summary":"An attacker can cause a segmentation fault and denial of service in TensorFlow by providing a string where a float16 value is expected during eager execution.","user_interaction":"required","vuln_class":"denial_of_service"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"tensorflow","vendor":"google"}],"cvss":{"score":5,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:C/C:L/I:L/A:L","version":"3.1"},"cwes":[{"id":"CWE-20","name":"Improper Input Validation"},{"id":"CWE-754","name":"Improper Check for Unusual or Exceptional Conditions"}],"description":"In TensorFlow before 1.15.2 and 2.0.1, converting a string (from Python) to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a tf.float16 value. Similar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar tf.float16 value with a scalar string will trigger this issue due to automatic conversions. This can be easily reproduced by tf.constant(\"hello\", tf.float16), if eager execution is enabled. This issue is patched in TensorFlow 1.15.1 and 2.0.1 with this vulnerability patched. TensorFlow 2.1.0 was released after we fixed the issue, thus it is not affected. Users are encouraged to switch to TensorFlow 1.15.1, 2.0.1 or 2.1.0.","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":"Segmentation faultin TensorFlow when converting a Python string to tf.float16","id":"CVE-2020-5215","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow"],"type":"denial_of_service","year":"2020"},"n_packages":16,"n_references":4,"next":{"headline":"Limited header injection when using dynamic overrides with user input in RubyGems secure_headers","id":"CVE-2020-5216"},"packages":[{"ecosystem":"Bitnami","fixed":["1.15.2","2.0.1"],"introduced":["0","2.0.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2020-5215"},{"ecosystem":"PyPI","fixed":["1.15.2","2.0.1"],"introduced":["0","2.0.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2020-258"},{"ecosystem":"PyPI","fixed":["1.15.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-977j-xj7q-2jr9"},{"ecosystem":"PyPI","fixed":["1.15.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-977j-xj7q-2jr9"},{"ecosystem":"PyPI","fixed":["2.0.1"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-977j-xj7q-2jr9"},{"ecosystem":"PyPI","fixed":["2.0.1"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-977j-xj7q-2jr9"},{"ecosystem":"PyPI","fixed":["1.15.2","2.0.1"],"introduced":["0","2.0.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2020-303"},{"ecosystem":"PyPI","fixed":["1.15.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-977j-xj7q-2jr9"},{"ecosystem":"PyPI","fixed":["1.15.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-977j-xj7q-2jr9"},{"ecosystem":"PyPI","fixed":["2.0.1"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-977j-xj7q-2jr9"},{"ecosystem":"PyPI","fixed":["2.0.1"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-977j-xj7q-2jr9"},{"ecosystem":"PyPI","fixed":["1.15.2","2.0.1"],"introduced":["0","2.0.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2020-338"},{"ecosystem":"PyPI","fixed":["1.15.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-977j-xj7q-2jr9"},{"ecosystem":"PyPI","fixed":["1.15.2"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-977j-xj7q-2jr9"},{"ecosystem":"PyPI","fixed":["2.0.1"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-977j-xj7q-2jr9"},{"ecosystem":"PyPI","fixed":["2.0.1"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-977j-xj7q-2jr9"}],"prev":{"headline":"NetHack error recovery after syntax error in configuration file is subject to a buffer overflow","id":"CVE-2020-5214"},"products":["TensorFlow"],"published":"2020-01-28","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 segmentation fault and denial of service in TensorFlow by providing a string where a float16 value is expected during eager execution.","url":"https://insights.sbomify.com/CVE-2020-5215/"}