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8 results for “kev-cve-2012-1535” · 0.86 s · cached

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8 CVE
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-2012-1535
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-2012-1535
CVE-2025-49735CVE

CVE-2025-49735

Use after free in Windows KDC Proxy Service (KPSSVC) allows an unauthorized attacker to execute code over a network.

CVSS 8.1EPSS 1.1%
Match for kev-cve-2012-1535
CVE-2025-31234CVE

CVE-2025-31234

The issue was addressed with improved input sanitization. This issue is fixed in iOS 18.5 and iPadOS 18.5, macOS Sequoia 15.5, tvOS 18.5, visionOS 2.5. An attacker may be able to cause unexpected sys…

CVSS 8.2EPSS 0.6%
Match for kev-cve-2012-1535
CVE-2025-1035CVE

CVE-2025-1035

Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') vulnerability in Komtera Technolgies KLog Server allows Manipulating Web Input to File System Calls. This issue affects…

CVSS 5.7EPSS 9.9%
Match for kev-cve-2012-1535
CVE-2024-56123CVE

CVE-2024-56123

Rejected reason: This CVE ID has been rejected or withdrawn by its CVE Numbering Authority.

Match for kev-cve-2012-1535
CVE-2024-56122CVE

CVE-2024-56122

Rejected reason: This CVE ID has been rejected or withdrawn by its CVE Numbering Authority.

Match for kev-cve-2012-1535
CVE-2025-60228CVE

CVE-2025-60228

Deserialization of Untrusted Data vulnerability in designthemes Knowledge Base kbase allows Object Injection.This issue affects Knowledge Base: from n/a through <= 2.9.

CVSS 8.8EPSS 0.5%
Match for kev-cve-2012-1535
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.