CyberRota Analysis
AI-GeneratedThe ncnn framework is vulnerable to an out-of-bounds heap write due to improper validation of parameter IDs when loading malicious .param model files, potentially leading to memory corruption and arbitrary code execution. This high-severity issue affects all versions prior to the fix in commit 5a0288f255daa6c3294f77109f67718e434ec020. Organizations utilizing ncnn for mobile neural network applications should prioritize patching to mitigate the risk of exploitation.
Public Exploit Signal
A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.
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Original NVD Description
ncnn is a high-performance neural network inference framework optimized for the mobile platform. In commit e54f7b1f88434e1d844ea0551b880a1cfb079ce1 and earlier, ncnn allows an out-of-bounds heap write in ncnn::ParamDict::load_param() when Net::load_param() loads a malicious .param model file because the parsed parameter id is checked only against id >= NCNN_MAX_PARAM_COUNT, allowing a negative id to index before the params[NCNN_MAX_PARAM_COUNT] array. This vulnerability is fixed by commit 5a0288f255daa6c3294f77109f67718e434ec020.