CVE-2018-25367 (GCVE-0-2018-25367)
Vulnerability from cvelistv5 – Published: 2026-05-25 14:15 – Updated: 2026-05-27 16:09
VLAI
EPSS
VEX
Title
NASA openVSP 3.16.1 Denial of Service via Buffer Overflow
Summary
NASA openVSP 3.16.1 contains a buffer overflow vulnerability that allows local attackers to crash the application by supplying an excessively long string in the geometry name field. Attackers can trigger a denial of service by pasting a 5000-byte payload into the name input field within the Geom browser pod addition interface.
Severity
6.2 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-120 - Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://www.exploit-db.com/exploits/45281 | exploit |
| https://github.com/nasa/OpenVSP | product |
| https://www.vulncheck.com/advisories/nasa-openvsp… | third-party-advisory |
Date Public
2018-08-28 00:00
Credits
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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