- kubelet v1.20.0 - v1.20.10
  - kubelet <= v1.19.14

**Fixed Versions**:
  - kubelet v1.22.2
  - kubelet v1.21.5
  - kubelet v1.20.11
  - kubelet v1.19.15

This vulnerability was reported by Fabricio Voznika and Mark Wolters of Google.

**CVSS Rating:** High (8.8) [CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H](https://www.first.org/cvss/calculator/3.0#CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)

    * This is a breaking change (and only slightly) if you used dependencies with `yield`, used `except` in those dependencies, and didn't raise again.
    * This was reported internally by [@rushilsrivastava](https://github.com/rushilsrivastava) as a memory leak when the server had unhandled exceptions that would produce internal server errors, the memory allocated before that point would not be released.

        specified by loss function). When this reduction type used with built-in
        Keras training loops like `fit`/`evaluate`, the unreduced vector loss is
        passed to the optimizer but the reported loss will be a scalar value.
    *   `SUM`: Scalar sum of weighted losses. 4. `SUM_OVER_BATCH_SIZE`: Scalar
        `SUM` divided by number of elements in losses. This reduction type is