CVE-2026-80117 (GCVE-0-2026-80117)
Vulnerability from cvelistv5 – Published: 2026-09-04 18:36 – Updated: 2026-09-04 18:53
VLAI
EPSS
VEX
Title
PassMark PerformanceTest, BurnInTest, and OSForensics Arbitrary I/O Port Access via DirectIo64.sys
Summary
PassMark PerformanceTest before 11.1 build 1012, BurnInTest before 11.1 build 1000, and OSForensics before 11.1 build 1016 contain a privilege escalation vulnerability in DirectIo64.sys that allows local users to issue arbitrary IN and OUT instructions to any x86 I/O port due to missing allowlist or port validation on exposed IOCTLs. Attackers can obtain a device handle and write to sensitive ports including the PS/2 controller port, CPU reset ports, CMOS configuration ports, and interrupt controller ports to cause an immediate system reset or other hardware-level manipulation from a standard user account.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-04 18:53 UTC
CWE
- CWE-782 - Exposed IOCTL with Insufficient Access Control
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/floppywiggler/directio64-disclosure | technical-description |
| https://www.passmark.com/products/performancetest… | release-notespatch |
| https://www.passmark.com/products/burnintest/hist… | release-notespatch |
| https://www.osforensics.com/whats-new.html | release-notespatch |
| https://dkom.dev/posts/directio64-disclosure/ | technical-description |
| https://www.vulncheck.com/advisories/passmark-per… | third-party-advisory |
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| PassMark Software | PerformanceTest |
Affected:
0 , < 11.1 build 1012
(custom)
|
guessed | |
| PassMark Software | BurnInTest |
Affected:
0 , < 11.1 build 1000
(custom)
|
guessed | |
| PassMark Software | OSForensics |
Affected:
0 , < 11.1 build 1016
(custom)
|
guessed |
Date Public
2026-06-24 00:00
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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.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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