{"id":"PYSEC-2026-3137","summary":"Integer overflow in TensorFlow","details":"### Impact\nUnder certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during [cost estimation for crop and resize](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L2621-L2689). Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior.\n\n### Patches\nWe have patched the issue in GitHub commit [0aaaae6eca5a7175a193696383f582f53adab23f](https://github.com/tensorflow/tensorflow/commit/0aaaae6eca5a7175a193696383f582f53adab23f).\n\nThe 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.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.","aliases":["BIT-tensorflow-2022-23587","CVE-2022-23587","GHSA-8jj7-5vxc-pg2q","PYSEC-2022-151","PYSEC-2022-96"],"modified":"2026-07-13T16:42:24.659658993Z","published":"2026-07-09T16:49:39.825833Z","references":[{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8jj7-5vxc-pg2q"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2022-23587"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/commit/0aaaae6eca5a7175a193696383f582f53adab23f"},{"type":"WEB","url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-96.yaml"},{"type":"WEB","url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-151.yaml"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L2621-L2689"},{"type":"PACKAGE","url":"https://pypi.org/project/tensorflow"},{"type":"ADVISORY","url":"https://github.com/advisories/GHSA-8jj7-5vxc-pg2q"}],"affected":[{"package":{"name":"tensorflow","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.5.3"},{"introduced":"2.6.0"},{"fixed":"2.6.3"},{"introduced":"2.7.0"},{"fixed":"2.7.1"}]}],"versions":["0.12.0","0.12.1","1.0.0","1.0.1","1.1.0","1.10.0","1.10.1","1.11.0","1.12.0","1.12.2","1.12.3","1.13.1","1.13.2","1.14.0","1.15.0","1.15.2","1.15.3","1.15.4","1.15.5","1.2.0","1.2.1","1.3.0","1.4.0","1.4.1","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.9.0","2.0.0","2.0.1","2.0.2","2.0.3","2.0.4","2.1.0","2.1.1","2.1.2","2.1.3","2.1.4","2.2.0","2.2.1","2.2.2","2.2.3","2.3.0","2.3.1","2.3.2","2.3.3","2.3.4","2.4.0","2.4.1","2.4.2","2.4.3","2.4.4","2.5.0","2.5.1","2.5.2","2.6.0","2.6.1","2.6.2","2.7.0"],"database_specific":{"source":"https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow/PYSEC-2026-3137.yaml"}}],"schema_version":"1.7.5","severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H"}]}