Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29583Heap buffer overflow and undefined behavior in `FusedBatchNorm`
Low 2.5
In plain English
A low-severity null pointer dereference 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 11% 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. The implementation of `tf.raw_ops.FusedBatchNorm` is vulnerable to a heap buffer overflow. If the tensors are empty, the same implementation can trigger undefined behavior by dereferencing null pointers. The implementation(https://github.com/tensorflow/tensorflow/blob/57d86e0db5d1365f19adcce848dfc1bf89fdd4c7/tensorflow/core/kernels/fused_batch_norm_op.cc) fails to validate that `scale`, `offset`, `mean` and `variance` (the last two only when required) all have the same number of elements as the number of channels of `x`. This results in heap out of bounds reads when the buffers backing these tensors are indexed past their boundary. If the tensors are empty, the validation mentioned in the above paragraph would also trigger and prevent the undefined behavior. 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-9xh4-23q4-v6wr |
| PyPI | tensorflow | 2.4.2 | GHSA-9xh4-23q4-v6wr |
| PyPI | tensorflow | 2.1.4 | GHSA-9xh4-23q4-v6wr |
| PyPI | tensorflow | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-220 |
| PyPI | tensorflow | 2.2.3 | GHSA-9xh4-23q4-v6wr |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-9xh4-23q4-v6wr |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-9xh4-23q4-v6wr |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-9xh4-23q4-v6wr |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-9xh4-23q4-v6wr |
| PyPI | tensorflow-cpu | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-511 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-9xh4-23q4-v6wr |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-9xh4-23q4-v6wr |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-9xh4-23q4-v6wr |
| PyPI | tensorflow-gpu | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-709 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-9xh4-23q4-v6wr |
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-476 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L