Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29547Heap out of bounds in `QuantizedBatchNormWithGlobalNormalization`
Low 2.5
In plain English
A low-severity out-of-bounds read in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 9% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official 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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.3 | GHSA-4fg4-p75j-w5xj |
| PyPI | tensorflow | 2.4.2 | GHSA-4fg4-p75j-w5xj |
| PyPI | tensorflow | 2.1.4 | GHSA-4fg4-p75j-w5xj |
| PyPI | tensorflow | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-184 |
| PyPI | tensorflow | 2.2.3 | GHSA-4fg4-p75j-w5xj |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-4fg4-p75j-w5xj |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-4fg4-p75j-w5xj |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-4fg4-p75j-w5xj |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-4fg4-p75j-w5xj |
| PyPI | tensorflow-cpu | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-475 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-4fg4-p75j-w5xj |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-4fg4-p75j-w5xj |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-4fg4-p75j-w5xj |
| PyPI | tensorflow-gpu | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-673 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-4fg4-p75j-w5xj |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.1.4>= 2.2.0, < 2.2.3>= 2.3.0, < 2.3.3>= 2.4.0, < 2.4.2 |
Weakness: CWE-125 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L