EUVD-2022-6926

Malicious code in bioql PyPI...

SUSE CVE-2022-36026

TensorFlow is an open source platform for machine learning. If QuantizeAndDequantizeV3 is given a nonscalar numbits input tensor, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713...

Stack overflow

TensorFlow is an open source platform for machine learning. If tf.rawops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56...

GHSA-689C-R7H2-FV9V 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,...

CVE-2022-36002

TensorFlow is an open source platform for machine learning. When Unbatch receives a nonscalar input id, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 4419d10d576adefa36b0e0a9425d2569f7c0189f. The fix will be included in TensorFlow...

GHSA-MH3M-62V7-68XG TensorFlow vulnerable to `CHECK` fail in `Unbatch`

Impact When Unbatch receives a nonscalar input id, 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=3, 3, 1, dtype=tf.float64 arg1=tf.constantvalue=np.random.randint0,100,size=3, 3, 1,...

GHSA-9CR2-8PWR-FHFQ TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`

Impact If QuantizeAndDequantizeV3 is given a nonscalar numbits input tensor, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf signedinput = True rangegiven = False narrowrange = False axis = -1 input = tf.constant-3.5, shape=1,...