TensorFlow segfault TFLite converter on per-channel quantized transposed convolutions
Impact
When converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process.
import tensorflow as tf
class QuantConv2DTransposed(tf.keras.layers.Layer):
def build(self, input_shape):
self.kernel = self.add_weight("kernel", [3, 3, input_shape[-1], 24])
def call(self, inputs):
filters = tf.quantization.fake_quant_with_min_max_vars_per_channel(
self.kernel, -3.0 * tf.ones([24]), 3.0 * tf.ones([24]), narrow_range=True
)
filters = tf.transpose(filters, (0, 1, 3, 2))
return tf.nn.conv2d_transpose(inputs, filters, [*inputs.shape[:-1], 24], 1)
inp = tf.keras.Input(shape=(6, 8, 48), batch_size=1)
x = tf.quantization.fake_quant_with_min_max_vars(inp, -3.0, 3.0, narrow_range=True)
x = QuantConv2DTransposed()(x)
x = tf.quantization.fake_quant_with_min_max_vars(x, -3.0, 3.0, narrow_range=True)
model = tf.keras.Model(inp, x)
model.save("/tmp/testing")
converter = tf.lite.TFLiteConverter.from_saved_model("/tmp/testing")
converter.optimizations = [tf.lite.Optimize.DEFAULT]
# terminated by signal SIGSEGV (Address boundary error)
tflite_model = converter.convert()
Patches
We have patched the issue in GitHub commit aa0b852a4588cea4d36b74feb05d93055540b450.
The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 Lukas Geiger via Github issue.
Czego dotyczy
Kliknij technologię, aby zobaczyć wszystkie dotyczące jej podatności.
| Platforma | Paczka | Podatne wersje | Poprawka w wersji |
|---|---|---|---|
| Python (PyPI) | tensorflow | < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 | 2.7.2, 2.8.1, 2.9.1 |
| Python (PyPI) | tensorflow-cpu | < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 | 2.7.2, 2.8.1, 2.9.1 |
| Python (PyPI) | tensorflow-gpu | < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 | 2.7.2, 2.8.1, 2.9.1 |
Odnośniki
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-79h2-q768-fpxr
- https://nvd.nist.gov/vuln/detail/CVE-2022-36027
- https://github.com/tensorflow/tensorflow/issues/53767
- https://github.com/tensorflow/tensorflow/commit/aa0b852a4588cea4d36b74feb05d93055540b450
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
- https://pypi.org/project/tensorflow
- https://github.com/advisories/GHSA-79h2-q768-fpxr
- https://pypi.org/project/tensorflow-cpu
- https://pypi.org/project/tensorflow-gpu
- Wektor CVSS
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H- Słabość (CWE)
CWE-20- Platforma
- Python (PyPI)
- Paczka
tensorflow, tensorflow-cpu, tensorflow-gpu- Ujawniono
- 16.09.2022
- Aktualizacja
- 11.10.2026 14:18
Źródła i licencje
OSV / GitHub Advisory Database - PYSEC-2026-3128 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3291 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-79h2-q768-fpxr - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-965 - PyPA Advisory Database; CC BY 4.0
Historia podatności: tensorflow
Wszystkie opisane podatności tej paczki (Python (PyPI)), od najnowszej. Widać, czy to jednorazowa wpadka, czy paczka, której trzeba pilnować.
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TensorFlow segfault TFLite converter on per-channel quantized transposed convolutions ten wpis
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