CVE-2026-6846
Memory Safety in Redhat Enterprise Linux 10.0 … 9.0
Raw vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HSummary
CVE-2026-6846 is a high-severity Heap-based Buffer Overflow (CWE-122) vulnerability in Redhat Enterprise Linux. Its CVSS base score is 7.8 (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 SI-10 (Information Input Validation) — 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-2026-6846 is a heap-buffer-overflow vulnerability (CWE-122) in binutils, triggered when processing a specially crafted XCOFF (Extended Common Object File Format) object file during the linking process. Published on 2026-04-22, it affects the binutils software package, with a CVSS v3.1 base score of 7.8 (AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H).
A local attacker can exploit this vulnerability by tricking a user into processing the malicious XCOFF file, leading to arbitrary code execution that allows running unauthorized commands or causing a denial of service that renders the system unavailable.
Red Hat advisories provide further details on mitigation, available at https://access.redhat.com/security/cve/CVE-2026-6846 and https://bugzilla.redhat.com/show_bug.cgi?id=2460006.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-24714
Vulnerability Data
A flaw was found in binutils. A heap-buffer-overflow vulnerability exists when processing a specially crafted XCOFF (Extended Common Object File Format) object file during linking. A local attacker could trick a user into processing this malicious file, which could lead…
more
to arbitrary code execution, allowing the attacker to run unauthorized commands, or cause a denial of service, making the system unavailable.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.4.1
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation (including fuzzing and memory-error detectors) can discover heap overflows after they have been coded.
Input validation enforces bounds checking on data written to heap buffers, directly stopping the overflow condition from being introduced.
Security engineering principles require use of memory-safe constructs and bounds-checked allocation routines that avoid introducing heap overflows.
Memory-protection mechanisms limit the ability of a heap overflow to execute attacker-controlled code or corrupt adjacent structures.
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 require bounds checking and safe memory handling that prevent heap overflows.
Vulnerability scanning and recording can discover heap-overflow flaws but does not prevent their introduction in code.
Timely patching removes known heap-overflow instances after they exist.
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 heap overflows before release.
Secure development lifecycle mandates practices that reduce the likelihood of introducing heap overflows.
Application security requirements can specify bounds-checking and safe memory APIs that mitigate heap overflows.
Secure architecture and engineering principles include memory-safety and input-validation controls that address heap overflows.
Secure coding standards directly prescribe techniques (safe functions, bounds checks) that prevent heap-based buffer overflows.
Change management ensures controlled deployment of fixes for discovered heap-overflow vulnerabilities.