id: PYSEC-2020-281
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.
affected:
- package:
    name: tensorflow-cpu
    ecosystem: PyPI
    purl: pkg:pypi/tensorflow-cpu
  ranges:
  - type: GIT
    repo: https://github.com/tensorflow/tensorflow
    events:
    - introduced: "0"
    - fixed: 3cbb917b4714766030b28eba9fb41bb97ce9ee02
  - type: ECOSYSTEM
    events:
    - introduced: "0"
    - fixed: 2.3.1
  versions:
  - 1.15.0
  - 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
references:
- type: WEB
  url: https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- type: ADVISORY
  url: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p5f8-gfw5-33w4
- type: FIX
  url: https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02
aliases:
- CVE-2020-15201
- GHSA-p5f8-gfw5-33w4
modified: "2021-12-09T06:34:41.679840Z"
published: "2020-09-25T19:15:00Z"