Safety vulnerability ID: 39408
The information on this page was manually curated by our Cybersecurity Intelligence Team.
TensorFlow versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0 includes a fix for CVE-2020-26266: In affected versions and under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen.
Latest version: 2.18.0
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Bug Fixes and Other Changes
* Fixes an access to unitialized memory in Eigen code
([CVE-2020-26266](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-26266))
* Fixes a security vulnerability caused by lack of validation in
`tf.raw_ops.DataFormatVecPermute` and `tf.raw_ops.DataFormatDimMap`
([CVE-2020-26267](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-26267))
* Fixes a vulnerability caused by attempting to write to immutable memory region in
`tf.raw_ops.ImmutableConst`
([CVE-2020-26268](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-26268)
* Fixes a `CHECK`-fail in LSTM with zero-length input
([CVE-2020-26270](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-26270))
* Fixes a security vulnerability caused by accessing heap data outside of bounds
when loading a specially crafted `SavedModel`
([CVE-2020-26271](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-26271))
* Updates `libjpeg-turbo` to `2.0.5` to handle
[CVE-2020-13790](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13790).
* Updates `junit` to `4.13.1` to handle
[CVE-2020-15250](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15250).
* Updates `PCRE` to `8.44` to handle
[CVE-2019-20838](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-20838)
and
[CVE-2020-14155](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-14155).
* Updates `sqlite3` to `3.44.0` to keep in sync with master branch.
* Newer ROCm versions are supported on the 2.1 branch.
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