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GHSA-G3XF-4W5X-P8RF

Vulnerability from github – Published: 2022-05-24 17:26 – Updated: 2022-05-24 17:26

Details

This vulnerability allows local attackers to disclose sensitive informations on affected installations of Parallels Desktop 15.1.4. An attacker must first obtain the ability to execute high-privileged code on the target guest system in order to exploit this vulnerability. The specific flaw exists within the VGA virtual device. The issue results from the lack of proper validation of user-supplied data, which can result in a read past the end of an allocated array. An attacker can leverage this in conjunction with other vulnerabilities to escalate privileges and execute code in the context of the hypervisor. Was ZDI-CAN-11363.

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{
  "affected": [],
  "aliases": [
    "CVE-2020-17401"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-08-25T21:15:00Z",
    "severity": "LOW"
  },
  "details": "This vulnerability allows local attackers to disclose sensitive informations on affected installations of Parallels Desktop 15.1.4. An attacker must first obtain the ability to execute high-privileged code on the target guest system in order to exploit this vulnerability. The specific flaw exists within the VGA virtual device. The issue results from the lack of proper validation of user-supplied data, which can result in a read past the end of an allocated array. An attacker can leverage this in conjunction with other vulnerabilities to escalate privileges and execute code in the context of the hypervisor. Was ZDI-CAN-11363.",
  "id": "GHSA-g3xf-4w5x-p8rf",
  "modified": "2022-05-24T17:26:32Z",
  "published": "2022-05-24T17:26:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-17401"
    },
    {
      "type": "WEB",
      "url": "https://kb.parallels.com/en/125013"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-20-1019"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2020-17401 (GCVE-0-2020-17401)

Vulnerability from cvelistv5 – Published: 2020-08-25 20:20 – Updated: 2024-08-04 13:53

Summary

Severity

6 (Medium)


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

CWE

CWE-129 - Improper Validation of Array Index

Assigner

zdi mitre root

References

2 references

URL	Tags
https://kb.parallels.com/en/125013	x_refsource_MISC
https://www.zerodayinitiative.com/advisories/ZDI-…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Parallels	Desktop	Affected: 15.1.4

Credits

grigoritchy

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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.