Vulnerability-Lookup

GHSA-F5MM-R2X3-3QMQ

Vulnerability from github – Published: 2022-05-14 01:09 – Updated: 2022-05-14 01:09

Details

VMware ESXi (6.7 before ESXi670-201904101-SG and 6.5 before ESXi650-201903001), Workstation (15.x before 15.0.3 and 14.x before 14.1.6), Fusion (11.x before 11.0.3 and 10.x before 10.1.6) contain multiple out-of-bounds read vulnerabilities in the shader translator. Exploitation of these issues requires an attacker to have access to a virtual machine with 3D graphics enabled. Successful exploitation of these issues may lead to information disclosure or may allow attackers with normal user privileges to create a denial-of-service condition on their own VM. The workaround for these issues involves disabling the 3D-acceleration feature. This feature is not enabled by default on ESXi and is enabled by default on Workstation and Fusion.

Severity

6.8 (Medium)


                  
                    CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2019-5517"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-04-15T18:29:00Z",
    "severity": "MODERATE"
  },
  "details": "VMware ESXi (6.7 before ESXi670-201904101-SG and 6.5 before ESXi650-201903001), Workstation (15.x before 15.0.3 and 14.x before 14.1.6), Fusion (11.x before 11.0.3 and 10.x before 10.1.6) contain multiple out-of-bounds read vulnerabilities in the shader translator. Exploitation of these issues requires an attacker to have access to a virtual machine with 3D graphics enabled. Successful exploitation of these issues may lead to information disclosure or may allow attackers with normal user privileges to create a denial-of-service condition on their own VM. The workaround for these issues involves disabling the 3D-acceleration feature. This feature is not enabled by default on ESXi and is enabled by default on Workstation and Fusion.",
  "id": "GHSA-f5mm-r2x3-3qmq",
  "modified": "2022-05-14T01:09:52Z",
  "published": "2022-05-14T01:09:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-5517"
    },
    {
      "type": "WEB",
      "url": "https://www.vmware.com/security/advisories/VMSA-2019-0006.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2019-5517 (GCVE-0-2019-5517)

Vulnerability from cvelistv5 – Published: 2019-04-15 17:20 – Updated: 2024-08-04 20:01

Summary

Severity

No CVSS data available.

CWE

Multiple Out-of-bounds read vulnerabilities

Assigner

vmware mitre root

References

1 reference

URL	Tags
https://www.vmware.com/security/advisories/VMSA-2…	x_refsource_CONFIRM

Impacted products

3 products

Vendor	Product	Version
VMware	ESXi	Affected: 6.7 before ESXi670-201904101-SG Affected: 6.5 before ESXi650-201903001
VMware	Workstation	Affected: 15.x before 15.0.3 Affected: 14.x before 14.1.6
VMware	Fusion	Affected: 11.x before 11.0.3 Affected: 10.x before 10.1.6

Date Public

2019-04-11 00:00

Show details on NVD website

JSON

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            "url": "https://www.vmware.com/security/advisories/VMSA-2019-0006.html"
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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.

Detection rules are retrieved from Rulezet.

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.

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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GHSA-F5MM-R2X3-3QMQ

CVE-2019-5517 (GCVE-0-2019-5517)

Tags

Sightings

Nomenclature

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