Vulnerability-Lookup

GHSA-3J3X-MGGM-XH6Q

Vulnerability from github – Published: 2022-05-13 01:13 – Updated: 2025-04-20 03:38

Details

Memory leak in the virtio_gpu_set_scanout function in hw/display/virtio-gpu.c in QEMU (aka Quick Emulator) allows local guest OS users to cause a denial of service (memory consumption) via a large number of "VIRTIO_GPU_CMD_SET_SCANOUT:" commands.

Severity

5.5 (Medium)


                  
                    CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

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  "affected": [],
  "aliases": [
    "CVE-2017-9060"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-401"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-06-01T16:29:00Z",
    "severity": "MODERATE"
  },
  "details": "Memory leak in the virtio_gpu_set_scanout function in hw/display/virtio-gpu.c in QEMU (aka Quick Emulator) allows local guest OS users to cause a denial of service (memory consumption) via a large number of \"VIRTIO_GPU_CMD_SET_SCANOUT:\" commands.",
  "id": "GHSA-3j3x-mggm-xh6q",
  "modified": "2025-04-20T03:38:24Z",
  "published": "2022-05-13T01:13:40Z",
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    },
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      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=1452597"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/201706-03"
    },
    {
      "type": "WEB",
      "url": "http://git.qemu.org/?p=qemu.git%3Ba=commit%3Bh=dd248ed7e204ee8a1873914e02b8b526e8f1b80d"
    },
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      "type": "WEB",
      "url": "http://git.qemu.org/?p=qemu.git;a=commit;h=dd248ed7e204ee8a1873914e02b8b526e8f1b80d"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2017/05/19/1"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/98632"
    }
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  "severity": [
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      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
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}

CVE-2017-9060 (GCVE-0-2017-9060)

Vulnerability from cvelistv5 – Published: 2017-06-01 16:00 – Updated: 2024-08-05 16:55

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 29/100 over 2362 records in the last 180 days details

References

5 references

URL	Tags
https://security.gentoo.org/glsa/201706-03	vendor-advisoryx_refsource_GENTOO
http://www.securityfocus.com/bid/98632	vdb-entryx_refsource_BID
http://www.openwall.com/lists/oss-security/2017/05/19/1	mailing-listx_refsource_MLIST
http://git.qemu.org/?p=qemu.git%3Ba=commit%3Bh=dd…	x_refsource_CONFIRM
https://bugzilla.redhat.com/show_bug.cgi?id=1452597	x_refsource_MISC

Date Public

2017-02-10 00:00

Show details on NVD website

JSON

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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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.

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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