Vulnerability-Lookup

VAR-202210-0758

Vulnerability from variot - Updated: 2023-12-18 13:27

Tenda AC1206 US_AC1206V1.0RTL_V15.03.06.23_multi_TD01 was discovered to contain a stack overflow via sched_end_time parameter. Shenzhen Tenda Technology Co.,Ltd. of ac1206 An out-of-bounds write vulnerability exists in firmware.Service operation interruption (DoS) It may be in a state. AC1206 is a high-performance router designed with gigabit ports for both WAN and LAN ports. The vulnerability comes from the fact that the sched_end_time parameter of the setSchedWifi function in /goform/openSchedWifi in the /bin/httpd file lacks the length verification of the input data. Attackers can exploit the vulnerability to cause Denial of service

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CVE-2022-42081 (GCVE-0-2022-42081)

Vulnerability from cvelistv5 – Published: 2022-10-12 00:00 – Updated: 2025-05-15 15:36

Summary

Tenda AC1206 US_AC1206V1.0RTL_V15.03.06.23_multi_TD01 was discovered to contain a stack overflow via sched_end_time parameter.

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: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-05-15 15:36 UTC

CWE

n/a
CWE-787 - Out-of-bounds Write

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/tianhui999/myCVE/blob/main/AC1…

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      "descriptions": [
        {
          "lang": "en",
          "value": "Tenda AC1206 US_AC1206V1.0RTL_V15.03.06.23_multi_TD01 was discovered to contain a stack overflow via sched_end_time parameter."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2022-10-12T00:00:00.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "url": "https://github.com/tianhui999/myCVE/blob/main/AC1206/AC1206-5.md"
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2022-42081",
    "datePublished": "2022-10-12T00:00:00.000Z",
    "dateReserved": "2022-10-03T00:00:00.000Z",
    "dateUpdated": "2025-05-15T15:36:42.897Z",
    "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.