CVE-2025-58147 (GCVE-0-2025-58147)
Vulnerability from cvelistv5 – Published: 2025-10-31 11:50 – Updated: 2025-11-04 21:13
VLAI
EPSS
VEX
Title
x86: Incorrect input sanitisation in Viridian hypercalls
Summary
[This CNA information record relates to multiple CVEs; the
text explains which aspects/vulnerabilities correspond to which CVE.]
Some Viridian hypercalls can specify a mask of vCPU IDs as an input, in
one of three formats. Xen has boundary checking bugs with all three
formats, which can cause out-of-bounds reads and writes while processing
the inputs.
* CVE-2025-58147. Hypercalls using the HV_VP_SET Sparse format can
cause vpmask_set() to write out of bounds when converting the bitmap
to Xen's format.
* CVE-2025-58148. Hypercalls using any input format can cause
send_ipi() to read d->vcpu[] out-of-bounds, and operate on a wild
vCPU pointer.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-31 17:45 UTC
CWE
- CWE-125 - Out-of-bounds Read
Assigner
References
Impacted products
Date Public
2025-10-21 11:59
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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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