id: PYSEC-2021-604
details: TensorFlow is an end-to-end open source platform for machine learning. In
  affected versions an attacker can craft a TFLite model that would trigger a division
  by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/lsh_projection.cc#L118).
  We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9.
  The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit
  on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected
  and still in supported range.
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: 0575b640091680cfb70f4dd93e70658de43b94f9
  - type: ECOSYSTEM
    events:
    - introduced: 2.3.0
    - fixed: 2.3.4
    - introduced: 2.4.0
    - fixed: 2.4.3
  versions:
  - 2.3.0
  - 2.3.1
  - 2.3.2
  - 2.3.3
  - 2.4.0
  - 2.4.1
  - 2.4.2
references:
- type: FIX
  url: https://github.com/tensorflow/tensorflow/commit/0575b640091680cfb70f4dd93e70658de43b94f9
- type: ADVISORY
  url: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-27qf-jwm8-g7f3
aliases:
- CVE-2021-37691
- GHSA-27qf-jwm8-g7f3
modified: "2021-12-09T06:35:06.759272Z"
published: "2021-08-12T23:15:00Z"