CVE-2025-52515

Jan. 5, 2026, 10:15 p.m.

5.1
Medium

Description

An issue was discovered in the Camera in Samsung Mobile Processor and Wearable Processor Exynos 1330, 1380, 1480, 2400, 1580, 2500. A race condition in the issimian device driver results in an out-of-bounds access, leading to a denial of service.

Product(s) Impacted

Vendor Product Versions
Samsung
  • Mobile Processor
  • exynos_1330, exynos_1380, exynos_1480, exynos_2400, exynos_1580, exynos_2500

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-362
Concurrent Execution using Shared Resource with Improper Synchronization ('Race Condition')
The product contains a code sequence that can run concurrently with other code, and the code sequence requires temporary, exclusive access to a shared resource, but a timing window exists in which the shared resource can be modified by another code sequence that is operating concurrently.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a samsung mobile_processor exynos_1330 / / / / / / /
a samsung mobile_processor exynos_1380 / / / / / / /
a samsung mobile_processor exynos_1480 / / / / / / /
a samsung mobile_processor exynos_2400 / / / / / / /
a samsung mobile_processor exynos_1580 / / / / / / /
a samsung mobile_processor exynos_2500 / / / / / / /

CVSS Score

5.1 / 10

CVSS Data - 3.1

  • Attack Vector: LOCAL
  • Attack Complexity: HIGH
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

    View Vector String

Timeline

Published: Jan. 5, 2026, 7:15 p.m.
Last Modified: Jan. 5, 2026, 10:15 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

cve@mitre.org

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.