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RedhatCVE
RedhatCVE
added 2026/07/16 8:8 a.m.11 views

CVE-2026-50144

A flaw was found in ncnn, a high-performance neural network inference framework. A remote attacker could craft a malicious model file that, when processed by a user, triggers an out-of-bounds heap write. This vulnerability in the ncnn::ParamDict::loadparam function is caused by insufficient...

7.1CVSS6.4AI score0.00108EPSS
SaveExploits0References2
CVE
CVE
added 2026/07/15 8:4 p.m.12 views

CVE-2026-50144

ncnn (mobile-optimized neural network framework) contains an out-of-bounds heap write in ParamDict::load_param() when loading a malicious .param model, caused by a negative parameter id indexing before params[NCNN_MAX_PARAM_COUNT]. This is exploitable via Net::load_param() and is fixed by commit ...

7.1CVSS6.1AI score0.00108EPSS
SaveExploits0References2
OSV
OSV
added 2026/07/15 8:4 p.m.8 views

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

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::loadparam when Net::loadparam loads a malicious .param model file because th...

7.1CVSS6.1AI score0.00108EPSS
SaveExploits0References4
Cvelist
Cvelist
added 2026/07/15 8:4 p.m.36 views

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

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::loadparam when Net::loadparam loads a malicious .param model file because th...

7.1CVSS0.00108EPSS
SaveExploits0References2
OSV
OSV
added 2026/01/08 12:16 a.m.7 views

UBUNTU-CVE-2026-21869

llama.cpp is an inference of several LLM models in C/C++. In commits 55d4206c8 and prior, the ndiscard parameter is parsed directly from JSON input in the llama.cpp server's completion endpoints without validation to ensure it's non-negative. When a negative value is supplied and the context fill...

9.8CVSS6.4AI score0.00438EPSS
SaveExploits1References3
Positive Technologies
Positive Technologies
added 2026/01/07 12:0 a.m.50 views

PT-2026-2109

Name of the Vulnerable Software and Affected Versions llama.cpp versions prior to commit 55d4206c9 Description llama.cpp is an inference engine for several Large Language Models LLMs implemented in C/C++. The software parses the n discard parameter directly from JSON input in its completion...

9.8CVSS7.7AI score0.00438EPSS
SaveExploits1References17
SUSE CVE
SUSE CVE
added 2024/10/29 4:15 a.m.4 views

SUSE CVE-2024-50610

GSL GNU Scientific Library through 2.8 has an integer signedness error in gslsimansolvemany in siman/siman.c. When params.ntries is negative, incorrect memory allocation occurs...

5.8CVSS7AI score0.00282EPSS
SaveExploits1References3
BDU FSTEC
BDU FSTEC
added 2021/07/13 12:0 a.m.8 views

The vulnerability of the tif_getimage.c component in the LibTIFF library, related to writing beyond the buffer boundaries, allows an attacker to access confidential data, compromise its integrity, and cause service failures.

The vulnerability of the tifgetimage.c component in the LibTIFF library is related to a buffer overflow vulnerability. This could potentially lead to a buffer overflow through the creation of an RGBA image, due to the presence of the “Nagative-size-param” condition. Exploiting this vulnerability...

8.8CVSS7.1AI score0.03356EPSS
SaveExploits0References10Affected Software4
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