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OSV
OSV
added 2026/07/13 2:19 p.m.5 views

PYSEC-2026-3285 TensorFlow vulnerable to segfault in `QuantizedMatMul`

Impact If QuantizedMatMul is given nonscalar input for: - mina - maxa - minb - maxb It gives a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf Toutput = tf.qint32 transposea = False transposeb = False Tactivation = tf.quint8 a = tf.constant7,...

5.9CVSS6.9AI score0.00439EPSS
SaveExploits0References7
OSV
OSV
added 2026/07/13 2:19 p.m.5 views

PYSEC-2026-3119 TensorFlow vulnerable to segfault in `QuantizedMatMul`

Impact If QuantizedMatMul is given nonscalar input for: - mina - maxa - minb - maxb It gives a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf Toutput = tf.qint32 transposea = False transposeb = False Tactivation = tf.quint8 a = tf.constant7,...

5.9CVSS6.9AI score0.00439EPSS
SaveExploits0References7
OSV
OSV
added 2026/07/09 4:49 p.m.3 views

PYSEC-2026-3302 TensorFlow vulnerable to `CHECK` failure in `SobolSample` via missing validation

Impact The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure assertion failure caused by assuming input0, input1, and input2 to be scalar. python import tensorflow as tf tf.rawops.SobolSampledim=tf.constant1,0, numresults=tf.constant1, skip=tf.constant1 Patche...

5.9CVSS6.9AI score0.00457EPSS
SaveExploits0References7
OSV
OSV
added 2026/07/07 10:17 a.m.5 views

PYSEC-2026-1031 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`

Impact When tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2, dtype=tf.float...

5.9CVSS5.9AI score0.00411EPSS
SaveExploits0References7
OSV
OSV
added 2024/03/06 11:13 a.m.18 views

BIT-TENSORFLOW-2022-35979 Segfault in `QuantizedRelu` and `QuantizedRelu6`

TensorFlow is an open source platform for machine learning. If QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for minfeatures or maxfeatures, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

7.5CVSS6.4AI score0.00439EPSS
SaveExploits0References3
SUSE CVE
SUSE CVE
added 2023/02/15 3:24 a.m.5 views

SUSE CVE-2022-35935

TensorFlow is an open source platform for machine learning. The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure assertion failure caused by assuming input0, input1, and input2 to be scalar. This issue has been patched in GitHub commit...

7.5CVSS7.9AI score0.00457EPSS
SaveExploits0References3
Debian CVE
Debian CVE
added 2022/09/16 7:35 p.m.5 views

CVE-2022-35935

TensorFlow is an open source platform for machine learning. The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure assertion failure caused by assuming input0, input1, and input2 to be scalar. This issue has been patched in GitHub commit...

7.5CVSS6.7AI score0.00457EPSS
SaveExploits0
CNNVD
CNNVD
added 2022/09/16 12:0 a.m.6 views

Google TensorFlow 输入验证错误漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google Inc. Google TensorFlow suffers from an input validation error vulnerability that originates from the fact that if the following non-scalar inputs are provided to QuantizedMatMul: mina, maxa, minb, or maxb, it...

7.5CVSS7.6AI score0.00439EPSS
SaveExploits0References3
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