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RedhatCVE
RedhatCVE
added 2026/01/09 8:49 a.m.6 views

CVE-2016-10408

QSEE will randomly experience a fatal error during execution due to speculative instruction fetches from device memory. Device memory is not valid executable memory...

8.4CVSS7.6AI score0.00049EPSS
Exploits0References1
EUVD
EUVD
added 2025/10/07 12:30 a.m.2 views

EUVD-2017-9425

Malware in sbrugna...

5.5CVSS5.6AI score0.00053EPSS
Exploits0References4
NVD
NVD
added 2018/10/23 1:29 p.m.12 views

CVE-2017-18299

Improper translation table consolidation logic leads to resource exhaustion and QSEE error in Snapdragon Automobile, Snapdragon Mobile and Snapdragon Wear in version MDM9206, MDM9607, MDM9650, MSM8996AU, SD 210/SD 212/SD 205, SD 425, SD 430, SD 450, SD 625, SD 650/52, SD 820, SD 820A, SD 835, SD...

5.5CVSS6.1AI score0.00053EPSS
Exploits0References3
Prion
Prion
added 2018/10/23 1:29 p.m.16 views

Input validation

Improper translation table consolidation logic leads to resource exhaustion and QSEE error in Snapdragon Automobile, Snapdragon Mobile and Snapdragon Wear in version MDM9206, MDM9607, MDM9650, MSM8996AU, SD 210/SD 212/SD 205, SD 425, SD 430, SD 450, SD 625, SD 650/52, SD 820, SD 820A, SD 835, SD...

4.9CVSS5.8AI score0.00053EPSS
Exploits0References3
CVE
CVE
added 2018/10/23 1:0 p.m.49 views

CVE-2017-18299

CVE-2017-18299 affects Qualcomm closed‑source components in Snapdragon platforms (Automobile, Mobile, Wear) across several SoCs/SDs. The issue arises from improper translation table consolidation logic, causing resource exhaustion and QSEE errors. Connected records identify this CVE as associated...

5.5CVSS6AI score0.00053EPSS
Exploits0References3Affected Software1
Cvelist
Cvelist
added 2018/10/23 1:0 p.m.19 views

CVE-2017-18299

Improper translation table consolidation logic leads to resource exhaustion and QSEE error in Snapdragon Automobile, Snapdragon Mobile and Snapdragon Wear in version MDM9206, MDM9607, MDM9650, MSM8996AU, SD 210/SD 212/SD 205, SD 425, SD 430, SD 450, SD 625, SD 650/52, SD 820, SD 820A, SD 835, SD...

5.8AI score0.00053EPSS
Exploits0References3
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