Vulnerability-Lookup

VAR-202303-1178

Vulnerability from variot - Updated: 2023-12-18 12:41

Any request send to a Netgear Nighthawk Wifi6 Router (RAX30)'s web service containing a “Content-Type” of “multipartboundary=” will result in the request body being written to “/tmp/mulipartFile” on the device itself. A sufficiently large file will cause device resources to be exhausted, resulting in the device becoming unusable until it is rebooted. of netgear RAX30 A vulnerability exists in the firmware regarding resource allocation without limits or throttling.Service operation interruption (DoS) It may be in a state. NETGEAR RAX30 is a dual-band wireless router from NETGEAR.

NETGEAR RAX30 has a denial of service vulnerability. The vulnerability stems from the improper handling of a large number of message requests

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CVE-2023-28338 (GCVE-0-2023-28338)

Vulnerability from cvelistv5 – Published: 2023-03-15 00:00 – Updated: 2025-02-27 14:20

Summary

Severity

No CVSS data available.

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-02-27 14:19 UTC

CWE

Denial of Service

Assigner

tenable mitre root

References

1 reference

URL	Tags
https://drupal9.tenable.com/security/research/tra…

Impacted products

1 product

Vendor	Product	Version
n/a	NETGEAR Nighthawk WiFi6 Router (RAX30)	Affected: All known versions

Show details on NVD website

JSON

To clipboard

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        {
          "lang": "en",
          "value": "Any request send to a Netgear Nighthawk Wifi6 Router (RAX30)\u0027s web service containing a \u201cContent-Type\u201d of \u201cmultipartboundary=\u201d will result in the request body being written to \u201c/tmp/mulipartFile\u201d on the device itself. A sufficiently large file will cause device resources to be exhausted, resulting in the device becoming unusable until it is rebooted."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "Denial of Service",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2023-03-15T00:00:00.000Z",
        "orgId": "5ac1ecc2-367a-4d16-a0b2-35d495ddd0be",
        "shortName": "tenable"
      },
      "references": [
        {
          "url": "https://drupal9.tenable.com/security/research/tra-2023-12"
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "5ac1ecc2-367a-4d16-a0b2-35d495ddd0be",
    "assignerShortName": "tenable",
    "cveId": "CVE-2023-28338",
    "datePublished": "2023-03-15T00:00:00.000Z",
    "dateReserved": "2023-03-14T00:00:00.000Z",
    "dateUpdated": "2025-02-27T14:20:22.028Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.

Action not permitted

VAR-202303-1178

CVE-2023-28338 (GCVE-0-2023-28338)

Tags

Sightings

Nomenclature

Related by attack behaviour