Raw vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2025-59600 is a high-severity Buffer Over-read (CWE-126) vulnerability in Qualcomm Fastconnect 6200 Firmware. Its CVSS base score is 7.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique OS Credential Dumping (T1003); ranked at the 0.1th 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-8 (Security and Privacy Engineering Principles) — 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-2025-59600 is a memory corruption vulnerability (CWE-126) that arises when user-supplied data is added without checking available buffer space. It affects components within Qualcomm products, as documented in the vendor's security bulletin.
The vulnerability carries a CVSS v3.1 base score of 7.8 (AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H). A local attacker with low privileges can exploit it through low-complexity means without requiring user interaction, potentially achieving high impacts on confidentiality, integrity, and availability.
Qualcomm's March 2026 security bulletin provides details on affected products, patches, and mitigation guidance, available at https://docs.qualcomm.com/product/publicresources/securitybulletin/march-2026-bulletin.html.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-208194
Vulnerability Data
Memory Corruption when adding user-supplied data without checking available buffer space.
- 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 (static analysis, fuzzing, bounds checking tests) directly finds buffer over-read flaws.
Engineering principles such as memory-safe design and bounds-checked abstractions structurally stop introduction of out-of-bounds reads.
Process isolation limits the blast radius of an over-read to the compromised domain.
Input validation enforces length and index constraints that prevent many externally triggered over-reads.
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 directly prevent introduction of buffer over-read weaknesses.
Vulnerability identification processes can discover buffer over-read flaws via scanning or review.
Patching or replacing vulnerable software removes known instances of buffer over-read bugs.
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 can detect buffer over-reads before release.
Secure SDLC mandates input validation and bounds checking that can prevent buffer over-reads.
Application security requirements can specify buffer-size and bounds-checking rules.
Secure architecture principles include memory-safety and bounds-checking design choices.
Secure coding standards directly require bounds-checked buffer access, mitigating over-reads.