Vulnerability-Lookup

VAR-202307-2190

Vulnerability from variot - Updated: 2024-01-19 23:06

ASUS RT-AX88U's httpd is subject to an unauthenticated DoS condition. A remote attacker can send a specially crafted request to the device which causes the httpd binary to crash within the "do_json_decode()" function of ej.c, resulting in a DoS condition. ASUSTeK Computer Inc. of RT-AX88U An out-of-bounds read vulnerability exists in firmware.Service operation interruption (DoS) It may be in a state. ASUS RT-AX88U is a wireless router made by ASUS in China.

ASUS RT-AX88U has a buffer overflow vulnerability. The vulnerability stems from failing to check the buffer input size

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CVE-2023-34359 (GCVE-0-2023-34359)

Vulnerability from cvelistv5 – Published: 2023-07-31 04:31 – Updated: 2024-10-21 14:37

Title

ASUS RT-AX88U - Out-of-bounds Read - 2

Summary

Severity

7.5 (High)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-10-21 14:36 UTC

CWE

CWE-125 - Out-of-bounds Read

Assigner

twcert mitre root

References

1 reference

URL	Tags
https://www.twcert.org.tw/tw/cp-132-7280-bea85-1.html

Impacted products

2 products

Vendor	Product	Version
ASUS	RT-AX88U	Affected: , ≤ 3.0.0.4.388_22525-gd35b8fe (custom)
asus	rt-ax88u	Affected: 0 , ≤ 3.0.0.4.388_22525-gd35b8fe (custom) cpe:2.3:h:asus:rt-ax88u:-:::::::*

Date Public

2023-07-31 04:29

Show details on NVD website

JSON

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        "shortName": "twcert"
      },
      "references": [
        {
          "url": "https://www.twcert.org.tw/tw/cp-132-7280-bea85-1.html"
        }
      ],
      "solutions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "Update firmware version to 3.0.0.4_388_23748 or latest"
            }
          ],
          "value": "Update firmware version to 3.0.0.4_388_23748 or latest"
        }
      ],
      "source": {
        "advisory": "TVN-202307012",
        "discovery": "EXTERNAL"
      },
      "title": "ASUS RT-AX88U - Out-of-bounds Read - 2",
      "x_generator": {
        "engine": "Vulnogram 0.1.0-dev"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "cded6c7f-6ce5-4948-8f87-aa7a3bbb6b0e",
    "assignerShortName": "twcert",
    "cveId": "CVE-2023-34359",
    "datePublished": "2023-07-31T04:31:39.240Z",
    "dateReserved": "2023-06-02T08:28:37.822Z",
    "dateUpdated": "2024-10-21T14:37:30.329Z",
    "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.