8 matches found
ONE Input Validation Error Vulnerability
ONE is a high-performance edge-side neural network inference framework developed by Samsung. Versions of ONE prior to 1.30.0 contained a vulnerability related to input validation errors. This vulnerability stemmed from a lack of operator boundary validation, which could lead to out-of-bounds code...
ONE Input Validation Error Vulnerability
ONE is a high-performance edge-side neural network inference framework developed by Samsung. Versions of ONE prior to 1.30.0 contained a vulnerability related to input validation errors. This vulnerability stemmed from integer overflows during the calculation of the copy size for output tensors,...
ONE Input Validation Error Vulnerability
ONE is a high-performance edge-side neural network inference framework developed by Samsung. Versions prior to ONE 1.30.0 contained a vulnerability related to input validation errors. This vulnerability stemmed from integer overflows during the calculation of tensor size allocation, which could...
ONE security vulnerabilities
ONE is a high-performance edge-side neural network inference framework developed by Samsung. Versions of ONE prior to 1.30.0 contained a security vulnerability. This vulnerability stemmed from improper verification of STRING tensor offsets, which could lead to out-of-bound access during the impor...
ONE Input Validation Error Vulnerability
ONE is a high-performance edge-side neural network inference framework developed by Samsung. Versions prior to ONE 1.30.0 contained a vulnerability related to input validation errors. This vulnerability stemmed from integer overflows during the calculation of memory copy sizes, which could lead t...
ONE Input Validation Error Vulnerability
ONE is a high-performance edge-side neural network inference framework developed by Samsung. Versions of ONE prior to 1.30.0 contained a vulnerability related to input validation errors. This vulnerability stemmed from integer overflows during the calculation of the temporary buffer’s initial siz...
ONE Input Validation Error Vulnerability
ONE is a high-performance edge-side neural network inference framework developed by Samsung. Versions prior to ONE 1.30.0 contained a vulnerability related to input validation errors. This vulnerability stemmed from integer overflows during the calculation of tensor replication sizes, which could...
ONE Input Validation Error Vulnerability
ONE is a high-performance edge-side neural network inference framework developed by Samsung. Versions prior to ONE 1.30.0 contained a vulnerability related to input validation errors. This vulnerability stemmed from integer overflows during the calculation of the size of constant tensor data, whi...