7 matches found
CVE-2026-42627
Arm ArmNN versions prior to 2026-03-27 are vulnerable to an integer overflow in the TensorShape::GetNumElements() function within armnn/Tensor.cpp. This occurs because tensor dimensions are multiplied using 32-bit unsigned arithmetic without overflow detection, causing GetNumBytes() to return an ...
CVE-2026-42627
In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...
EUVD-2026-31476
In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...
Arm NN security vulnerabilities
Arm NN is an open-source machine learning inference engine optimized for the Arm architecture, developed by Arm Software. Versions of Arm NN prior to 2026-03-27 contained a security vulnerability. This vulnerability stemmed from integer overflow in the TensorShape::GetNumElements function, which...
CVE-2026-42627
In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...
CVE-2026-42627: Integer Overflow or Wraparound
In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...
CVE-2026-42627
In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...