CVE-2021-29547
Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a segfault and denial of service via accessing data outside of bounds in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc#L176-L189) assumes the inputs are not empty. If any of these inputs is empty, `.flat<T>()` is an empty buffer, so accessing the element at index 0 is accessing data outside of bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Predictions
Heuristic predictions, AS-IS, for prioritization only.
Mitigations
No mitigations published for this CVE yet.
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OS impact
Arch Fixed 1 release
| Version | Status | Fixed in |
|---|---|---|
| — | Fixed | 2.5.0-1 |
Debian Fixed 2 releases
| Version | Status | Fixed in |
|---|---|---|
| sid | Fixed | 0 |
| forky | Fixed | 0 |
Package impact
| Ecosystem | Package | Vulnerable | Fixed |
|---|---|---|---|
| PyPI | tensorflow-cpu | <2.1.4 | 2.1.4 |
| PyPI | tensorflow | >=2.4.0,<2.4.2 | 2.4.2 |
| PyPI | tensorflow-cpu | >=2.2.0,<2.2.3 | 2.2.3 |
| PyPI | tensorflow-cpu | >=2.3.0,<2.3.3 | 2.3.3 |
| PyPI | tensorflow-gpu | >=2.3.0,<2.3.3 | 2.3.3 |
| PyPI | tensorflow-gpu | >=2.4.0,<2.4.2 | 2.4.2 |
| PyPI | tensorflow | <2.1.4 | 2.1.4 |
| PyPI | tensorflow | >=2.2.0,<2.2.3 | 2.2.3 |
| PyPI | tensorflow | >=2.3.0,<2.3.3 | 2.3.3 |
| PyPI | tensorflow-cpu | >=2.4.0,<2.4.2 | 2.4.2 |
| PyPI | tensorflow-gpu | <2.1.4 | 2.1.4 |
| PyPI | tensorflow-gpu | >=2.2.0,<2.2.3 | 2.2.3 |
| PyPI | tensorflow | <d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b||>=2.4.0,<2.4.3 | d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b |
| PyPI | tensorflow-cpu | <d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b||>=2.4.0,<2.4.3 | d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b |
| PyPI | tensorflow-gpu | <d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b||>=2.4.0,<2.4.3 | d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4fg4-p75j-w5xj
- https://nvd.nist.gov/vuln/detail/CVE-2021-29547
- https://github.com/tensorflow/tensorflow/commit/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-475.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-673.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-184.yaml
- https://github.com/tensorflow/tensorflow
- https://security-tracker.debian.org/tracker/CVE-2021-29547
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.