CVE-2026-123203

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{"bugzilla": {"description": "neuron: neuron: Denial of Service via crafted model dataset", "id": "2567746", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2567746"}, "csaw": false, "cvss3": {"cvss3_base_score": "6.1", "cvss3_scoring_vector": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:H", "status": "draft"}, "cwe": "CWE-120", "details": ["A flaw was found in NEURON. A local attacker can cause a Denial of Service (DoS) and stack memory corruption by convincing a user or system to load a specially crafted model dataset containing oversized tokens. When the application parses these malformed data files, a stack-based buffer overflow occurs, crashing the process."], "mitigation": {"lang": "en:us", "value": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability."}, "name": "CVE-2026-123203", "public_date": "2026-11-05T18:16:39Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-123203\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-123203\nhttps://github.com/neuronsimulator/nrn/blob/ba5783378c0aa1d9ac95b4454bea94b15c63f75d/src/coreneuron/io/mk_mech.cpp#L81-L96\nhttps://github.com/neuronsimulator/nrn/commit/6e5a6578a3503c44ee0f19593e7ffb19812ef0e1\nhttps://github.com/neuronsimulator/nrn/pull/3932\nhttps://www.vulncheck.com/advisories/neuron-through-9.0.2-stack-based-buffer-overflow-via-coreneuron-dataset-tokens"], "statement": "This vulnerability is rated as Moderate severity because successful exploitation requires local user interaction to load an untrusted or maliciously crafted dataset, preventing unassisted remote attacks. Although parsing oversized tokens within model files can trigger stack memory corruption leading to an immediate process crash, the blast radius remains limited to the individual executing simulation. Under typical deployments, the component runs as a standalone computational tool rather than an exposed listening network service, further constraining overall operational risk.", "threat_severity": "Moderate"}

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