{"cve":"CVE-2020-15197","nvd":{"published":"2020-09-25T19:15:14.963","modified":"2026-06-17T02:56:14.723","status":"Modified","description":"In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix. However, malicious users can pass in tensors of different rank, resulting in a `CHECK` assertion failure and a crash. This can be used to cause denial of service in serving installations, if users are allowed to control the components of the input sparse tensor. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.","cvss_v4":null,"cvss_v3":{"version":"3.1","vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:N/I:N/A:H","score":6.3},"cwes":["CWE-20","CWE-617"],"references":["https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02","https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1","https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qc53-44cj-vfvx","https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02","https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"],"products":["google:tensorflow"],"source":"nvd","synced_at":"2026-10-19T21:09:53.489947993+00:00"},"epss":{"cve":"CVE-2020-15197","score":0.00726,"percentile":0.54135,"date":"2026-11-01"},"kev":null,"osv":[{"id":"GHSA-qc53-44cj-vfvx","url":"https://osv.dev/vulnerability/GHSA-qc53-44cj-vfvx","summary":"Denial of Service in Tensorflow","modified":"2026-07-08T06:00:12.028180655Z","packages":[{"ecosystem":"PyPI","name":"tensorflow","purl":"pkg:pypi/tensorflow","ranges":[">=2.3.0 <2.3.1"],"fixed":["2.3.1"]},{"ecosystem":"PyPI","name":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","ranges":[">=2.3.0 <2.3.1"],"fixed":["2.3.1"]},{"ecosystem":"PyPI","name":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","ranges":[">=2.3.0 <2.3.1"],"fixed":["2.3.1"]}]},{"id":"PYSEC-2020-120","url":"https://osv.dev/vulnerability/PYSEC-2020-120","summary":"","modified":"2023-12-06T01:00:16.454804Z","packages":[{"ecosystem":"PyPI","name":"tensorflow","purl":"pkg:pypi/tensorflow","ranges":["<2.3.1"],"fixed":["2.3.1"]}]},{"id":"PYSEC-2020-277","url":"https://osv.dev/vulnerability/PYSEC-2020-277","summary":"","modified":"2023-12-06T01:00:16.454804Z","packages":[{"ecosystem":"PyPI","name":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","ranges":["<2.3.1"],"fixed":["2.3.1"]}]},{"id":"PYSEC-2020-312","url":"https://osv.dev/vulnerability/PYSEC-2020-312","summary":"","modified":"2023-12-06T01:00:16.454804Z","packages":[{"ecosystem":"PyPI","name":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","ranges":["<2.3.1"],"fixed":["2.3.1"]}]}],"attribution":["This product uses the NVD API but is not endorsed or certified by the NVD.","EPSS scores: FIRST Exploit Prediction Scoring System, https://www.first.org/epss","Known exploited vulnerabilities: CISA Known Exploited Vulnerabilities Catalog, https://www.cisa.gov/known-exploited-vulnerabilities-catalog","Package advisories: OSV (https://osv.dev), from the GitHub Advisory Database, PyPA, Go, RustSec and other ecosystem databases, under CC-BY 4.0 or CC0","CVE records: the CVE Program's CVE List (https://www.cve.org), under its terms of use (https://www.cve.org/Legal/TermsOfUse). CVE is a registered trademark of The MITRE Corporation; this product is not affiliated with the CVE Program."]}