{
  "affected": [
    {
      "ranges": [
        {
          "database_specific": {
            "versions": [
              {
                "introduced": "0"
              },
              {
                "last_affected": "2.3.0"
              }
            ]
          },
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "b36436b087bd8e8701ef51718179037cccdfc26e"
            },
            {
              "fixed": "3cbb917b4714766030b28eba9fb41bb97ce9ee02"
            },
            {
              "fixed": "fcc4b966f1265f466e82617020af93670141b009"
            }
          ],
          "repo": "https://github.com/tensorflow/tensorflow",
          "type": "GIT"
        }
      ]
    }
  ],
  "details": "In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.",
  "id": "CVE-2020-15201",
  "modified": "2026-03-13T21:53:21.240906515Z",
  "published": "2020-09-25T19:15:15.353Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"
    },
    {
      "type": "FIX",
      "url": "https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02"
    },
    {
      "type": "EVIDENCE",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p5f8-gfw5-33w4"
    }
  ],
  "related": [
    "GHSA-p5f8-gfw5-33w4"
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}