Vulnerability 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.
CVSS Score
HIGH
Related Weaknesses (CWE)
References
- https://github.com/Tencent/ncnn/commit/5a0288f255daa6c3294f77109f67718e434ec020
- https://github.com/Tencent/ncnn/security/advisories/GHSA-jxmc-3mv6-7pwr
- https://github.com/Tencent/ncnn/security/advisories/GHSA-jxmc-3mv6-7pwr
FAQ
What is CVE-2026-50144?
CVE-2026-50144 is a vulnerability with a CVSS score of 7.1 (HIGH). 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...
How severe is CVE-2026-50144?
CVE-2026-50144 has been rated HIGH with a CVSS base score of 7.1/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-50144?
Check the references section above for vendor advisories and patch information. Review vendor security bulletins for remediation guidance.