High severity · published Jul 15, 2026
CVE-2026-50144
ncnn: Out-of-bounds heap write in ParamDict::load_param via unchecked negative parameter id
7.1
CVSS
0.2%
EPSS
No
On KEV
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 vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H
Attack vector
Local
Complexity
Low
Privileges
None
User interaction
Required
Confidentiality
None
Integrity
High
Availability
High
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.2% · higher than 5% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
NC
ncnn · Tencent
< 5a0288f255daa6c3294f77109f67718e434ec020; <= 20260526 · source: vendor
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2026-50144
CVE.org
https://www.cve.org/CVERecord?id=CVE-2026-50144
github.com
https://github.com/Tencent/ncnn/commit/5a0288f255daa6c3294f77109f67718e434ec020
github.com
https://github.com/Tencent/ncnn/security/advisories/GHSA-jxmc-3mv6-7pwr
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