VAR-201706-0515
Vulnerability from variot - Updated: 2025-04-20 23:40The drag-and-drop (DnD) function in VMware Workstation 12.x before version 12.5.4 and Fusion 8.x before version 8.5.5 has an out-of-bounds memory access vulnerability. This may allow a guest to execute code on the operating system that runs Workstation or Fusion. VMwareWorkstation and others are virtual machine software products of the US company. VMwareWorkstation is a set of expensive and feature-rich virtual machine software. VMwareWorkstationPlayer is a set of free, open source and simpler virtual machine software. VMWareFusion allows seamless running of Windows applications on Intel-based Mac machines. A memory corruption vulnerability exists in multiple VMware products. An attacker could exploit this vulnerability to execute arbitrary code in the context of a user running in an affected program, which would result in a denial of service. Failed exploit attempts will likely result in denial-of-service conditions. The following products are vulnerable: VMware Workstation Pro 12.x VMware Workstation Player 12.x VMware Fusion Pro 8.x VMware Fusion 8.x
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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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