Vulnerability-Lookup

GHSA-W6PC-M3RH-GPQ7

Vulnerability from github – Published: 2022-05-13 01:01 – Updated: 2025-04-12 13:07

Details

An exploitable buffer overflow exists in the Joyent SmartOS 20161110T013148Z Hyprlofs file system. The vulnerability is present in the Ioctl system call with the command HYPRLOFS_ADD_ENTRIES when dealing with 32-bit file systems. An attacker can craft an input that can cause a buffer overflow in the nm variable leading to an out of bounds memory access and could result in potential privilege escalation. This vulnerability is distinct from CVE-2016-9032.

Severity

7.0 (High)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2016-9034"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119",
      "CWE-120"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2016-12-14T17:59:00Z",
    "severity": "HIGH"
  },
  "details": "An exploitable buffer overflow exists in the Joyent SmartOS 20161110T013148Z Hyprlofs file system. The vulnerability is present in the Ioctl system call with the command HYPRLOFS_ADD_ENTRIES when dealing with 32-bit file systems. An attacker can craft an input that can cause a buffer overflow in the nm variable leading to an out of bounds memory access and could result in potential privilege escalation. This vulnerability is distinct from CVE-2016-9032.",
  "id": "GHSA-w6pc-m3rh-gpq7",
  "modified": "2025-04-12T13:07:24Z",
  "published": "2022-05-13T01:01:06Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2016-9034"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/94930"
    },
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      "type": "WEB",
      "url": "http://www.talosintelligence.com/reports/TALOS-2016-0252"
    }
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  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2016-9034 (GCVE-0-2016-9034)

Vulnerability from cvelistv5 – Published: 2016-12-14 17:00 – Updated: 2024-08-06 02:42

Summary

Severity

7 (High)


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

CWE

buffer overflow

Assigner

talos mitre root

References

2 references

URL	Tags
http://www.securityfocus.com/bid/94930	vdb-entryx_refsource_BID
http://www.talosintelligence.com/reports/TALOS-20…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Joyent	SmartOS	Affected: OS 20161110T013148Z

Date Public

2016-12-12 00:00

Show details on NVD website

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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.