Vulnerability-Lookup

GHSA-49JC-JPFQ-H27G

Vulnerability from github – Published: 2026-03-27 15:30 – Updated: 2026-03-27 21:31

Details

A buffer overflow vulnerability exists in the ONVIF GetStreamUri function of LSC Indoor Camera V7.6.32. The application fails to validate the length of the Protocol parameter inside the Transport element. By sending a specially crafted SOAP request containing an oversized protocol string, an attacker can overflow the stack buffer, overwriting the return instruction pointer (RIP). This vulnerability allows for Denial of Service (DoS) via device crash or Remote Code Execution (RCE) in the context of the ONVIF service.

Severity

7.2 (High)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2025-69986"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-03-27T15:16:45Z",
    "severity": "HIGH"
  },
  "details": "A buffer overflow vulnerability exists in the ONVIF GetStreamUri function of LSC Indoor Camera V7.6.32. The application fails to validate the length of the Protocol parameter inside the Transport element. By sending a specially crafted SOAP request containing an oversized protocol string, an attacker can overflow the stack buffer, overwriting the return instruction pointer (RIP). This vulnerability allows for Denial of Service (DoS) via device crash or Remote Code Execution (RCE) in the context of the ONVIF service.",
  "id": "GHSA-49jc-jpfq-h27g",
  "modified": "2026-03-27T21:31:34Z",
  "published": "2026-03-27T15:30:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-69986"
    },
    {
      "type": "WEB",
      "url": "https://github.com/victorGoeman/LSC-Indoor-Camera-Security-Research/blob/main/CVE-2025-69986.md"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2025-69986 (GCVE-0-2025-69986)

Vulnerability from cvelistv5 – Published: 2026-03-27 00:00 – Updated: 2026-03-27 18:55

Summary

Severity

7.2 (High)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-03-27 18:53 UTC

CWE

n/a
CWE-121 - Stack-based Buffer Overflow
CWE-20 - Improper Input Validation

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/victorGoeman/LSC-Indoor-Camera…

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "cvssV3_1": {
              "attackComplexity": "LOW",
              "attackVector": "NETWORK",
              "availabilityImpact": "HIGH",
              "baseScore": 7.2,
              "baseSeverity": "HIGH",
              "confidentialityImpact": "HIGH",
              "integrityImpact": "HIGH",
              "privilegesRequired": "HIGH",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
              "vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
              "version": "3.1"
            }
          },
          {
            "other": {
              "content": {
                "id": "CVE-2025-69986",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-03-27T18:53:34.273183Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "problemTypes": [
          {
            "descriptions": [
              {
                "cweId": "CWE-121",
                "description": "CWE-121 Stack-based Buffer Overflow",
                "lang": "en",
                "type": "CWE"
              }
            ]
          },
          {
            "descriptions": [
              {
                "cweId": "CWE-20",
                "description": "CWE-20 Improper Input Validation",
                "lang": "en",
                "type": "CWE"
              }
            ]
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-03-27T18:55:01.816Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "A buffer overflow vulnerability exists in the ONVIF GetStreamUri function of LSC Indoor Camera V7.6.32. The application fails to validate the length of the Protocol parameter inside the Transport element. By sending a specially crafted SOAP request containing an oversized protocol string, an attacker can overflow the stack buffer, overwriting the return instruction pointer (RIP). This vulnerability allows for Denial of Service (DoS) via device crash or Remote Code Execution (RCE) in the context of the ONVIF service."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
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          ]
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      ],
      "providerMetadata": {
        "dateUpdated": "2026-03-27T14:15:22.153Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "url": "https://github.com/victorGoeman/LSC-Indoor-Camera-Security-Research/blob/main/CVE-2025-69986.md"
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2025-69986",
    "datePublished": "2026-03-27T00:00:00.000Z",
    "dateReserved": "2026-01-09T00:00:00.000Z",
    "dateUpdated": "2026-03-27T18:55:01.816Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

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.