Vulnerability-Lookup

VAR-202312-0334

Vulnerability from variot - Updated: 2024-01-18 22:56

There is a denial of service vulnerability in some ZTE mobile internet products. Due to insufficient validation of Web interface parameter, an attacker could use the vulnerability to perform a denial of service attack. ZTE of mc801a firmware and mc801a1 There are unspecified vulnerabilities in the firmware.Service operation interruption (DoS) It may be in a state. ZTE MC801A/MC801A1 are both 5g indoor WiFi routers from China ZTE Corporation (ZTE).

ZTE MC801A and MC801A1 have a buffer overflow vulnerability

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CVE-2023-25644 (GCVE-0-2023-25644)

Vulnerability from cvelistv5 – Published: 2023-12-14 08:04 – Updated: 2025-05-22 17:53

Title

Denial of Service Vulnerability in Some ZTE Mobile Internet Products

Summary

Severity

6.5 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-05-22 17:53 UTC

CWE

CWE-755 - Improper Handling of Exceptional Conditions

Assigner

zte mitre root

References

1 reference

URL	Tags
https://support.zte.com.cn/support/news/LoopholeI…

Impacted products

2 products

Vendor	Product	Version
ZTE	MC801A	Affected: MC801A_Elisa3_B19 , ≤ B19 (B19)
ZTE	MC801A1	Affected: MC801A1_Elisa1_B04 , ≤ B04 (B04)

Date Public

2023-08-28 07:28

Show details on NVD website

JSON

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            {
              "base64": false,
              "type": "text/html",
              "value": "\n\n\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eMC801A_Elisa3_B22\uff0c\n\n\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eMC801A1_Elisa1_B06\u003c/span\u003e\n\n\u003c/span\u003e\u003cbr\u003e"
            }
          ],
          "value": "\nMC801A_Elisa3_B22\uff0c\n\nMC801A1_Elisa1_B06\n\n\n"
        }
      ],
      "source": {
        "discovery": "EXTERNAL"
      },
      "title": "Denial of Service Vulnerability in Some ZTE Mobile Internet Products",
      "x_generator": {
        "engine": "Vulnogram 0.1.0-dev"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "6786b568-6808-4982-b61f-398b0d9679eb",
    "assignerShortName": "zte",
    "cveId": "CVE-2023-25644",
    "datePublished": "2023-12-14T08:04:26.281Z",
    "dateReserved": "2023-02-09T19:47:48.022Z",
    "dateUpdated": "2025-05-22T17:53:37.661Z",
    "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.