Safety vulnerability ID: 39943
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1 include a fix for CVE-2020-15202: In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the 'Shard' API in TensorFlow expects the last argument to be a function taking two 'int64' (i.e., 'long long') arguments. However, there are several places in TensorFlow where a lambda taking 'int' or 'int32' arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h6fg-mjxg-hqq4
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
Bug Fixes and Other Changes
* Fixes an undefined behavior causing a segfault in `tf.raw_ops.Switch`
([CVE-2020-15190](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15190))
* Fixes three vulnerabilities in conversion to DLPack format
([CVE-2020-15191](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15191),
[CVE-2020-15192](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15192),
[CVE-2020-15193](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15193))
* Fixes two vulnerabilities in `SparseFillEmptyRowsGrad`
([CVE-2020-15194](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15194),
[CVE-2020-15195](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15195))
* Fixes an integer truncation vulnerability in code using the work sharder API
([CVE-2020-15202](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15202))
* Fixes a format string vulnerability in `tf.strings.as_string`
([CVE-2020-15203](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15203))
* Fixes segfault raised by calling session-only ops in eager mode
([CVE-2020-15204](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15204))
* Fixes data leak and potential ASLR violation from `tf.raw_ops.StringNGrams`
([CVE-2020-15205](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15205))
* Fixes segfaults caused by incomplete `SavedModel` validation
([CVE-2020-15206](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15206))
* Fixes a data corruption due to a bug in negative indexing support in TFLite
([CVE-2020-15207](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15207))
* Fixes a data corruption due to dimension mismatch in TFLite
([CVE-2020-15208](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15208))
* Fixes several vulnerabilities in TFLite saved model format
([CVE-2020-15209](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15209),
[CVE-2020-15210](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15210),
[CVE-2020-15211](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15211))
* Updates `sqlite3` to `3.33.00` to handle
[CVE-2020-9327](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-9327),
[CVE-2020-11655](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-11655),
[CVE-2020-11656](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-11656),
[CVE-2020-13434](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13434),
[CVE-2020-13435](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13435),
[CVE-2020-13630](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13630),
[CVE-2020-13631](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13631),
[CVE-2020-13871](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13871),
and
[CVE-2020-15358](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15358).
* Removes `scipy` dependency from `setup.py` since TensorFlow does not need it
to install the pip package
* Switches ROCM builds to use ROCM 3.7
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