2 matches found
TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`
ImpactWhen tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as np arg0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2,...
7.5CVSS7.1AI score0.00478EPSS
SaveExploits0References7Affected Software1
PT-2026-59978
Impact When tf.quantization.fake quant with min max vars gradient 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 arg 0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2,...
7.5CVSS7.1AI score0.00478EPSS
SaveExploits0References8
20