VAR-201911-0634
Vulnerability from variot - Updated: 2023-12-18 12:35The Device Model in ACRN before 2019w25.5-140000p relies on assert calls in devicemodel/hw/pci/core.c and devicemodel/include/pci_core.h (instead of other mechanisms for propagating error information or diagnostic information), which might allow attackers to cause a denial of service (assertion failure) within pci core. This is fixed in 1.2. 6199e653418e is a mitigation for pre-1.1 versions, whereas 2b3dedfb9ba1 is a mitigation for 1.1. ACRN Contains a vulnerability with reachable assertions.Service operation interruption (DoS) There is a possibility of being put into a state. ACRN is an open source virtual machine monitor for the Internet of Things. There are security vulnerabilities in the previous version of ACRN 2019w25.5-140000p. An attacker can use this vulnerability to cause a denial of service
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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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