The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.
795 vulnerabilities with CWE-617
CVE-2022-36016
MEDIUM
TensorFlow < 2.7.2 - Reachable Assertion in FullTypeDef Substitution
CVSS 5.9
CVE-2022-36012
MEDIUM
TensorFlow < 2.7.2 - Reachable Assertion in FunctionDef Import
CVSS 5.9
CVE-2022-36005
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via Fake Quantization Min/Max Gradient Check
CVSS 5.9
CVE-2022-36004
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via Large Input Shape and Rates in tf.random.gamma
CVSS 5.9
CVE-2022-36003
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via RandomPoissonV2 CHECK Fail
CVSS 5.9
CVE-2022-36002
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via Unbatch Non-Scalar Input
CVSS 5.9
CVE-2022-36001
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via DrawBoundingBoxes Input Validation
CVSS 5.9
CVE-2022-35999
MEDIUM
TensorFlow <2.10.0-2.9.1-2.8.1 - DoS
CVSS 5.9
CVE-2022-35998
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via EmptyTensorList Element Shape Check
CVSS 5.9
CVE-2022-35997
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via Non-Scalar Separator in tf.sparse.cross
CVSS 5.9
CVE-2022-35995
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via AudioSummaryV2 Sample Rate Check
CVSS 5.9
CVE-2022-35994
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via CollectiveGather Scalar Input
CVSS 5.9
CVE-2022-35993
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via SetSize CHECK Fail
CVSS 5.9
CVE-2022-35992
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via TensorListFromTensor element_shape Rank Check
CVSS 5.9
CVE-2022-35991
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via TensorListScatter Element Shape Check
CVSS 5.9
CVE-2022-40755
MEDIUM
JasPer 3.0.6 - Denial of Service via Reachable Assertion in inttobits Function
CVSS 5.5
CVE-2022-36026
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via QuantizeAndDequantizeV3 Non-scalar num_bits Input
CVSS 5.9
CVE-2022-36019
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via FakeQuantWithMinMaxVarsPerChannel CHECK Fail
CVSS 5.9
CVE-2022-36018
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via RaggedTensorToVariant CHECK Fail
CVSS 5.9
CVE-2022-35990
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via Fake Quantization Min/Max Rank Check
CVSS 5.9
CVE-2022-35989
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via MaxPool Window Size Check
CVSS 5.9
CVE-2022-35988
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via Empty Input to tf.linalg.matrix_rank
CVSS 5.9
CVE-2022-35987
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via DenseBincount Input Validation
CVSS 5.9
CVE-2022-35985
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via LRNGrad Output Image Tensor
CVSS 5.9
CVE-2022-35984
MEDIUM
TensorFlow < 2.7.2 - Denial of Service via ParameterizedTruncatedNormal Shape Type Mismatch
CVSS 5.9
Details
Vulnerabilities
795