CVE-2026-50144 (GCVE-0-2026-50144)
Vulnerability from cvelistv5 – Published: 2026-07-15 20:04 – Updated: 2026-07-17 12:27
VLAI
EPSS
VEX
Title
ncnn: Out-of-bounds heap write in ParamDict::load_param via unchecked negative parameter id
Summary
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.
Severity
7.1 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-17 12:27 UTC
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/Tencent/ncnn/security/advisori… | x_refsource_CONFIRM |
| https://github.com/Tencent/ncnn/commit/5a0288f255… | x_refsource_MISC |
Impacted products
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Sightings
| Author | Source | Type | Date | Other |
|---|
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
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