Vulnerability-Lookup

GHSA-HW4R-HJ94-JWP8

Vulnerability from github – Published: 2022-05-13 01:48 – Updated: 2022-05-13 01:48

Details

While parsing Netlink attributes in QCA_WLAN_VENDOR_ATTR_EXTSCAN_BSSID_HOTLIST_PARAMS_LOST_AP_SAMPLE_SIZE in qcacld 2.0 before 2017-05-16, a buffer overread could occur.

Severity

7.8 (High)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2017-9694"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-03-30T21:29:00Z",
    "severity": "HIGH"
  },
  "details": "While parsing Netlink attributes in QCA_WLAN_VENDOR_ATTR_EXTSCAN_BSSID_HOTLIST_PARAMS_LOST_AP_SAMPLE_SIZE in qcacld 2.0 before 2017-05-16, a buffer overread could occur.",
  "id": "GHSA-hw4r-hj94-jwp8",
  "modified": "2022-05-13T01:48:04Z",
  "published": "2022-05-13T01:48:04Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-9694"
    },
    {
      "type": "WEB",
      "url": "https://source.codeaurora.org/quic/la/platform/vendor/qcom-opensource/wlan/qcacld-2.0/commit/?id=1e47d44de7bab5500d27f17ae5c4ebebc7d2b4ef"
    },
    {
      "type": "WEB",
      "url": "https://www.codeaurora.org/security-bulletin/2017/10/20/october-2017-v1"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/100210"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2017-9694 (GCVE-0-2017-9694)

Vulnerability from cvelistv5 – Published: 2018-03-30 21:00 – Updated: 2024-09-16 19:00

Summary

While parsing Netlink attributes in QCA_WLAN_VENDOR_ATTR_EXTSCAN_BSSID_HOTLIST_PARAMS_LOST_AP_SAMPLE_SIZE in qcacld 2.0 before 2017-05-16, a buffer overread could occur.

Severity

No CVSS data available.

CWE

Improper Input Validation in WLAN

Assigner

qualcomm mitre root

References

3 references

URL	Tags
https://www.codeaurora.org/security-bulletin/2017…	x_refsource_MISC
https://source.codeaurora.org/quic/la/platform/ve…	x_refsource_MISC
http://www.securityfocus.com/bid/100210	vdb-entryx_refsource_BID

Impacted products

1 product

Vendor	Product	Version
Qualcomm, Inc.	Android for MSM, Firefox OS for MSM, QRD Android	Affected: All Android releases from CAF using the Linux kernel

Date Public

2018-03-26 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.

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.