๐Ÿ” CVE Alert

CVE-2026-50144

HIGH 7.1

ncnn: Out-of-bounds heap write in ParamDict::load_param via unchecked negative parameter id

CVSS Score
7.1
EPSS Score
0.0%
EPSS Percentile
0th

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.

CWE CWE-20 CWE-129 CWE-787
Vendor tencent
Product ncnn
Published Jul 15, 2026
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CVSS v3 Breakdown

CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H
Attack Vector
Local
Attack Complexity
Low
Privileges Required
None
User Interaction
Required
Scope
Unchanged
Confidentiality
None
Integrity
High
Availability
High

Affected Versions

Tencent / ncnn
< 5a0288f255daa6c3294f77109f67718e434ec020 <= 20260526

References

NVD โ†— CVE.org โ†— EPSS Data โ†—
github.com: https://github.com/Tencent/ncnn/security/advisories/GHSA-jxmc-3mv6-7pwr github.com: https://github.com/Tencent/ncnn/commit/5a0288f255daa6c3294f77109f67718e434ec020