5 matches found
Heap overflow in Tensorflow
Impact The implementation of SparseCountSparseOutput is vulnerable to a heap overflow:pythonimport tensorflow as tfimport numpy as nptf.rawops.SparseCountSparseOutput indices=-1,-1, values=2, denseshape=1, 1, weights=1, binaryoutput=True, minlength=-1, maxlength=-1, name=None PatchesWe have patch...
PYSEC-2026-3097 Heap overflow in Tensorflow
Impact The implementation of SparseCountSparseOutput is vulnerable to a heap overflow: python import tensorflow as tf import numpy as np tf.rawops.SparseCountSparseOutput indices=-1,-1, values=2, denseshape=1, 1, weights=1, binaryoutput=True, minlength=-1, maxlength=-1, name=None Patches We have...
PYSEC-2026-3258 Integer overflow leading to crash in Tensorflow
Impact The implementation of SparseCountSparseOutput can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation: python import tensorflow as tf import numpy as np tf.rawops.SparseCountSparseOutput indices=1,1, values=2, denseshape=2 31, 2 32,...
SUSE CVE-2021-29521
TensorFlow is an end-to-end open source platform for machine learning. Specifying a negative dense shape in tf.rawops.SparseCountSparseOutput results in a segmentation fault being thrown out from the standard library as std::vector invariants are broken. This is because the...
CVE-2021-41210
TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for SparseCountSparseOutput can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow...