Vulnerability · Published Jul 15, 2026 · Assigned by GitHub_M

CVE-2026-50144ncnn: Out-of-bounds heap write in ParamDict::load_param via unchecked negative parameter id

High 7.1

In plain English

A high-severity improper input validation in ncnn from Tencent. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 5% of all known vulnerabilities).

Severity (CVSS 3.1)7.1High

Exploit odds (30 days)0.2%top 94.7% of all CVEs

Exploited in the wildNo reportsCISA SSVC: poc

Attack toolingNoneno public tooling known

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.

Affected products (as reported)

Vendor	Product	Versions
Tencent	ncnn	< 5a0288f255daa6c3294f77109f67718e434ec020<= 20260526

Weakness: CWE-20, CWE-129, CWE-787 · Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H

References

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