CVE-2026-123203
Received Received - Intake

Stack Buffer Overflow in NEURON CoreNEURON

Publication date: 2026-11-05

Last updated on: 2026-11-05

Assigner: VulnCheck

Description
NEURON (CoreNEURON) through 9.0.2 contains a stack buffer overflow vulnerability that allows attackers to corrupt stack memory by supplying over-long tokens in a crafted model dataset. Attackers can place oversized version or mechanism-name tokens in bbcore_mech.dat, globals.dat, or files.dat loaded by nrniv-core to crash the process.

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Meta Information

Published
2026-11-05
Last Modified
2026-11-05
Generated
2026-11-06
AI Q&A
2026-11-05
EPSS Evaluated
N/A
NVD
CVE-2026-123203
EUVD
EUVD-2026-117648

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
neuronsimulator NEURON 0

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Exploitability

CWE
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KEV
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CWE ID Description
CWE-121 A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function).

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Executive Summary

CVE-2026-123203 is a stack buffer overflow in CoreNEURON through version 9.0.2. It occurs when processing dataset files like bbcore_mech.dat, globals.dat, or files.dat. Attackers can insert oversized tokens for version or mechanism names, causing stack memory corruption or crashes by overwriting adjacent memory frames.

Detection Guidance

Check CoreNEURON version with 'nrniv-core --version' or 'coreneuron --version'. If version is 9.0.2 or earlier, the system is vulnerable. Inspect files bbcore_mech.dat, globals.dat, and files.dat for unusually long tokens in version or mechanism-name fields.

Impact Analysis

This vulnerability allows attackers to crash the nrniv-core process by supplying maliciously crafted tokens. It could lead to denial-of-service conditions or potential code execution if exploited, depending on the system configuration and attacker capabilities.

Mitigation Strategies

Upgrade CoreNEURON to a version newer than 9.0.2. Apply patches from NEURON repository commits like 6e5a6578a3503c44ee0f19593e7ffb19812ef0e1. Validate dataset files to ensure no oversized tokens exist in vulnerable fields.

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