TensorFlow has Floating Point Exception in AudioSpectrogram
Impact
version:2.11.0 //core/ops/audio_ops.cc:70
Status SpectrogramShapeFn(InferenceContext* c) { ShapeHandle input; TF_RETURN_IF_ERROR(c->WithRank(c->input(0), 2, &input)); int32_t window_size; TF_RETURN_IF_ERROR(c->GetAttr("window_size", &window_size)); int32_t stride; TF_RETURN_IF_ERROR(c->GetAttr("stride", &stride)); .....[1]
DimensionHandle input_length = c->Dim(input, 0); DimensionHandle input_channels = c->Dim(input, 1);
DimensionHandle output_length; if (!c->ValueKnown(input_length)) { output_length = c->UnknownDim(); } else { const int64_t input_length_value = c->Value(input_length); const int64_t length_minus_window = (input_length_value - window_size); int64_t output_length_value; if (length_minus_window < 0) { output_length_value = 0; } else { output_length_value = 1 + (length_minus_window / stride); .....[2] } output_length = c->MakeDim(output_length_value); }
Get the value of stride at [1], and the used at [2]
import tensorflow as tf
para = {'input': tf.constant([[14.], [24.]], dtype=tf.float32), 'window_size': 1, 'stride': 0, 'magnitude_squared': False}
func = tf.raw_ops.AudioSpectrogram
@tf.function(jit_compile=True)
def fuzz_jit():
y = func(**para)
return y
fuzz_jit()Patches
We have patched the issue in GitHub commit d0d4e779da0d0f56499c6fa5ba09f0a576cc6b14.
The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1
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 r3pwnx
Affected software
Click a technology to see all vulnerabilities affecting it.
| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | tensorflow | < 2.11.1 | 2.11.1 |
| Python (PyPI) | tensorflow-cpu | < 2.11.1 | 2.11.1 |
| Python (PyPI) | tensorflow-gpu | < 2.11.1 | 2.11.1 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f637-vh3r-vfh2
- https://nvd.nist.gov/vuln/detail/CVE-2023-25666
- https://github.com/tensorflow/tensorflow/commit/d0d4e779da0d0f56499c6fa5ba09f0a576cc6b14
- https://github.com/tensorflow/tensorflow
- https://pypi.org/project/tensorflow-gpu
- https://github.com/advisories/GHSA-f637-vh3r-vfh2
- https://pypi.org/project/tensorflow
- https://pypi.org/project/tensorflow-cpu
- CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H- Weakness (CWE)
CWE-697- Platform
- Python (PyPI)
- Package
tensorflow, tensorflow-cpu, tensorflow-gpu- Disclosed
- 24.03.2023
- Updated
- 11.10.2026 14:18
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2026-1960 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3169 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-f637-vh3r-vfh2 - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3317 - PyPA Advisory Database; CC BY 4.0
Vulnerability history: tensorflow
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 433
- First → latest
- 04.2019 07.2024
- Without a fix
- 0
- Exploited in attacks
- 0
Severity breakdown
- Critical 6
- High 112
- Medium 210
- Low 105
Disclosures per year
- 2019: 7
- 2020: 35
- 2021: 200
- 2022: 169
- 2023: 21
- 2024: 1
- 2025: 0
- 2026: 0
-
TensorFlow has Floating Point Exception in AudioSpectrogram this entry
Know which vulnerabilities affect your application
With the DockRay integration and software inventory enabled, DockRay checks reported component versions against known vulnerabilities and notifies you about confirmed matches. Coverage depends on the supported technology and available advisory data.