CVE-2026-80119 (GCVE-0-2026-80119)
Vulnerability from cvelistv5 – Published: 2026-09-04 18:37 – Updated: 2026-09-04 19:19
VLAI
EPSS
VEX
Title
PassMark PerformanceTest, BurnInTest, and OSForensics Physical Memory Disclosure via DirectIo64.sys IOCTL
Summary
PassMark PerformanceTest before 11.1 build 1012, BurnInTest before 11.1 build 1000, and OSForensics before 11.1 build 1016 contain an information disclosure vulnerability in DirectIo64.sys that allows unauthenticated local attackers to dump complete physical memory contents by supplying a caller-controlled file path to an exposed IOCTL. Attackers can issue a single IOCTL call to trigger the driver to iterate all physical memory ranges via MmGetPhysicalMemoryRanges and map each page through ZwMapViewOfSection on the PhysicalMemory section object, writing a full RAM image to an attacker-specified path in the SYSTEM context, bypassing user-mode ACLs and exposing LSASS working set, process memory, and cryptographic material from all running processes.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-04 19:19 UTC
CWE
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/floppywiggler/directio64-disclosure | technical-descriptionexploit |
| 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.
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.
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