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7 results for “kev-cve-2015-1641” · 1.16 s · cached

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CVE-2026-31590CVE

CVE-2026-31590

In the Linux kernel, the following vulnerability has been resolved: KVM: SEV: Drop WARN on large size for KVM_MEMORY_ENCRYPT_REG_REGION Drop the WARN in sev_pin_memory() on npages overflowing an in…

CVSS 5.5EPSS 0.2%linux
Match for kev-cve-2015-1641
CVE-2026-43331CVE

CVE-2026-43331

In the Linux kernel, the following vulnerability has been resolved: x86/kexec: Disable KCOV instrumentation after load_segments() The load_segments() function changes segment registers, invalidatin…

CVSS 5.5EPSS 0.1%linux
Match for kev-cve-2015-1641
CVE-2026-40528CVE

CVE-2026-40528

OpenSC before 0.27.0, fixed in commit 0358817, contains a stack and heap buffer overrun vulnerability in the do_key_value() function in src/pkcs15init/profile.c that allows attackers to corrupt memor…

CVSS 3.8EPSS 0.2%opensc_project
Match for kev-cve-2015-1641
CVE-2026-3931CVE

CVE-2026-3931

Heap buffer overflow in Skia in Google Chrome prior to 146.0.7680.71 allowed a remote attacker to perform out of bounds memory access via a crafted HTML page. (Chromium security severity: Medium)

CVSS 8.8EPSS 0.3%
Match for kev-cve-2015-1641
CVE-2026-3541CVE

CVE-2026-3541

Inappropriate implementation in CSS in Google Chrome prior to 145.0.7632.159 allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page. (Chromium security severity: Hi…

CVSS 8.8EPSS 0.3%
Match for kev-cve-2015-1641
CVE-2026-31612CVE

CVE-2026-31612

In the Linux kernel, the following vulnerability has been resolved: ksmbd: validate EaNameLength in smb2_get_ea() smb2_get_ea() reads ea_req->EaNameLength from the client request and passes it dire…

CVSS 7.5EPSS 0.6%linux
Match for kev-cve-2015-1641
CVE-2026-6771CVE

CVE-2026-6771

Mitigation bypass in the DOM: Security component. This vulnerability was fixed in Firefox 150, Firefox ESR 140.10, Thunderbird 150, and Thunderbird 140.10.

CVSS 9.8EPSS 0.5%
Match for kev-cve-2015-1641
Hybrid search: an exact-match keyword pass (title + MITRE-ID + body-head) fused with Vertex AI semantic similarity (text-embedding-005, cosine vector search over the corpus) via reciprocal-rank fusion — exact IDs stay pinned, related concepts surface by meaning. Curated by Adam Lundqvist, Founder at SQUR.