Vulnerability details

CVE-2026-50144

Tencent ncnn

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

CVSS 3.1

7.1High

Official 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 scores

Score	Version	Source	Vector
7.1High	3.1	CVEProject cvelistV5 (CNA) (GitHub_M)	`CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H`

Affected products

Vendor	Product	Versions	Source
Tencent	ncnn	< 5a0288f255daa6c3294f77109f67718e434ec020	CVEProject cvelistV5 (CNA)
Tencent	ncnn	<= 20260526	CVEProject cvelistV5 (CNA)

References and advisories

https://github.com/Tencent/ncnn/commit/5a0288f255daa6c3294f77109f67718e434ec020 x_refsource_MISC
https://github.com/Tencent/ncnn/security/advisories/GHSA-jxmc-3mv6-7pwr x_refsource_CONFIRM

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Details

Published: 2026-07-15
Last updated: 2026-07-17
State: Published
Assigner (CNA): GitHub_M

Exploit prediction (EPSS)

0.16%

Probability of exploitation in 30 days

5.3%

Percentile (among all CVEs)

SSVC assessment (CISA)

Automatable: No
Exploitation: Proof of concept
Technical impact: Total

Weaknesses (CWE)

CWE-20
Improper Input Validation
CWE-129
Improper Validation of Array Index
CWE-787
Out-of-bounds Write