CVE-2020-15205
Data leak in Tensorflow
Severity by source
Trivy's own label is CRITICAL. Rated critical by NVD, Bitnami. Rated lower by GHSA (medium).
Description
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `data_splits` argument of `tf.raw_ops.StringNGrams` lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory In the linked code snippet, all the binary strings after `ee ff` are contents from the memory stack. Since these can contain return addresses, this data leak can be used to defeat ASLR. The issue is patched in commit 0462de5b544ed4731aa2fb23946ac22c01856b80, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Affected packages and fixed versions
| Source | Package | Fixed in |
|---|---|---|
| bitnami::Bitnami Vulnerability Database | tensorflow | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 |
| pip::GitHub Security Advisory pip | tensorflow, tensorflow-cpu, tensorflow-gpu | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 |
Show all 4 entries from 2 sources
| Source | Package | Fixed in |
|---|---|---|
| bitnami::Bitnami Vulnerability Database | tensorflow | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 |
| pip::GitHub Security Advisory pip | tensorflow | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 |
| pip::GitHub Security Advisory pip | tensorflow-cpu | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 |
| pip::GitHub Security Advisory pip | tensorflow-gpu | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 |
References
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-285.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-320.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-128.yaml
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/commit/0462de5b544ed4731aa2fb23946ac22c01856b80
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g7p5-5759-qv46