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7 results for “kev-cve-2015-1635” · 1.56 s · cached

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7 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-2015-1635
CVE-2015-8036CVE

CVE-2015-8036

Heap-based buffer overflow in ARM mbed TLS (formerly PolarSSL) 1.3.x before 1.3.14 and 2.x before 2.1.2 allows remote SSL servers to cause a denial of service (client crash) and possibly execute arbi…

CVSS 6.8EPSS 2.9%polarssl
Match for kev-cve-2015-1635
CVE-2026-3544CVE

CVE-2026-3544

Heap buffer overflow in WebCodecs in Google Chrome prior to 145.0.7632.159 allowed a remote attacker to perform an out of bounds memory write via a crafted HTML page. (Chromium security severity: Hig…

CVSS 8.8EPSS 0.4%
Match for kev-cve-2015-1635
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-2015-1635
CVE-2026-4395CVE

CVE-2026-4395

Heap-based buffer overflow in the KCAPI ECC code path of wc_ecc_import_x963_ex() in wolfSSL wolfcrypt allows a remote attacker to write attacker-controlled data past the bounds of the pubkey_raw buff…

CVSS 9.8EPSS 0.6%
Match for kev-cve-2015-1635
CVE-2026-3538CVE

CVE-2026-3538

Integer overflow in Skia in Google Chrome prior to 145.0.7632.159 allowed a remote attacker to potentially perform out of bounds memory access via a crafted HTML page. (Chromium security severity: Cr…

CVSS 8.8EPSS 0.8%
Match for kev-cve-2015-1635
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-2015-1635
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.