Raw vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:LSummary
CVE-2025-20931 is a high-severity Out-of-bounds Write (CWE-787) vulnerability in Samsung Notes. Its CVSS base score is 7.3 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 7th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SA-15 (Development Process, Standards, and Tools) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2025-20931 is an out-of-bounds write vulnerability (CWE-787) in the BMP image parsing functionality of the Samsung Notes application, affecting versions prior to 4.4.26.71. Published on 2025-03-06, it carries a CVSS v3.1 base score of 7.3 (AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:L), indicating high integrity impact with low confidentiality and availability effects.
Local attackers can exploit this vulnerability by supplying a maliciously crafted BMP image to Samsung Notes. With low attack complexity, no privileges or user interaction required, exploitation enables arbitrary code execution on the local system.
Samsung's security advisory for March 2025, available at https://security.samsungmobile.com/serviceWeb.smsb?year=2025&month=03, addresses the vulnerability and mitigation through updates to Samsung Notes version 4.4.26.71 or later.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-6115
Vulnerability Data
Out-of-bounds write in parsing bmp image in Samsung Notes prior to version 4.4.26.71 allows local attackers to execute arbitrary code.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation (including fuzzing and bounds checks) finds out-of-bounds write flaws before deployment.
Requiring documented secure-development standards and tools can mandate bounds-checked coding practices that avoid the weakness.
Input validation can structurally reject or sanitize data that would otherwise trigger an out-of-bounds write.
Memory-protection mechanisms limit the exploitability and blast radius of a successful out-of-bounds write.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure-development practices (static analysis, bounds checking, code review) are the primary means of preventing out-of-bounds writes.
Vulnerability scanning and recording can discover out-of-bounds write flaws so they can be remediated.
Patching or replacing vulnerable software directly eliminates known instances of this coding weakness.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing in development and acceptance can detect and prevent out-of-bounds write defects.
Secure development life cycle mandates practices that prevent out-of-bounds writes.
Application security requirements can specify bounds-checking and safe memory handling.
Secure architecture and engineering principles reduce the likelihood of buffer overflows.
Secure coding directly addresses out-of-bounds writes through language choice and coding standards.
Change management can enforce review gates that catch unsafe memory operations before deployment.