# Release of HDF5 1.10.10 (Newsletter #192)

**URL:** <https://forum.hdfgroup.org/t/release-of-hdf5-1-10-10-newsletter-192/11006>\
**Category:** News and Announcements\
**Created:** [April 6, 2023, 10:05pm UTC](https://forum.hdfgroup.org/t/release-of-hdf5-1-10-10-newsletter-192/11006 "2023-04-06T22:05:23Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![lori.cooper](https://forum.hdfgroup.org/user_avatar/forum.hdfgroup.org/lori.cooper/32/1489_2.png) [@lori.cooper](https://forum.hdfgroup.org/u/lori.cooper)\
**Post date:** [April 6, 2023, 10:05pm UTC](https://forum.hdfgroup.org/t/release-of-hdf5-1-10-10-newsletter-192/11006/1 "2023-04-06T22:05:23Z")

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The HDF5 1.10.10 release is now available from the [HDF5 1.10.10 download page](https://portal.hdfgroup.org/display/support/HDF5+1.10.10) on the HDF Support Portal.

This is a maintenance release with a few changes and updates:

- Brings the `H5Dchunk_iter()` API call from 1.14.0, which allows for significantly more efficient iteration over a dataset's chunks.
- Bug and CVE fixes, including:
  - CVE-2021-37501, a CVE related to checking for overflow when calculating on-disk attribute data size
  - CVE-2018-17433, CVE-2018-17436, and CVE-2020-10809, which address flaws in the HDF5 GIF tools, which can now be disabled from the build using `--disable-hltools` (Autotools) or `HDF5_BUILD_HL_TOOLS=OFF` (CMake). The GIF tools are considered deprecated and will eventually be moved to a separate repository.
  - A memory corruption issue that can occur when reading from a dataset using a hyperslab selection
  - Issues with variable-length attributes, hyperslab selections, and attribute type conversions with compound datatypes

- Finally, we have made additional performance improvements that bring 1.10’s performance in line with 1.8, particularly when working with many datasets.

Please see the full [release notes](https://github.com/HDFGroup/hdf5/blob/hdf5_1_10_10/release_docs/RELEASE.txt) for detailed information regarding this release, including a detailed list of changes.

We also maintain a release schedule for all HDF5 versions in the [README](https://github.com/HDFGroup/hdf5) on Github. As always, feel free to post on the forum with any questions.