FKIE_CVE-2026-7372

Vulnerability from fkie_nvd - Published: 2026-05-04 01:16 - Updated: 2026-06-17 11:02
Severity
9.0 (Critical) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
9.0 (Critical) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
Summary
A stack overflow vulnerability exists in the WebCam Server Login functionality of GeoVision GV-VMS V20 20.0.2. A specially crafted HTTP request can lead to an arbitrary code execution. An attacker can make an unauthenticated HTTP request to trigger this vulnerability. #### Stack-overflow via unconstrained sscanf The call to `sscanf` at [1] to split the `Buffer` variable into the `username` and `password` variables doesn't limit the size of the extracted content to match the destination buffers' sizes. In this case, if either the username or password decoded from the authorization string exceeds `40` characters (the size the stack variables `username` and `password`) then a stack overflow will occur. The data is controlled by an attacker, but sronger constraints (e.g. no null bytes) may make exploitation harder. A successful attack could lead to full code execution as SYSTEM on the machine running the service.
References
0df08a0e-a200-4957-9bb0-084f562506f9https://talosintelligence.com/vulnerability_reports/Third Party Advisory
0df08a0e-a200-4957-9bb0-084f562506f9https://www.geovision.com.tw/cyber_security.phpVendor Advisory
Impacted products
Vendor Product Version
geovision gv-vms_firmware *
geovision gv-vms 20
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "defaultStatus": "unaffected",
          "platforms": [
            "Windows"
          ],
          "product": "GV-VMS V20.0.2",
          "vendor": "GeoVision Inc.",
          "versions": [
            {
              "status": "affected",
              "version": "20.0.2"
            },
            {
              "status": "unaffected",
              "version": "20.0.2.10"
            },
            {
              "status": "unaffected",
              "version": "20.1.0.0"
            }
          ]
        }
      ],
      "source": "0df08a0e-a200-4957-9bb0-084f562506f9"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:o:geovision:gv-vms_firmware:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "B00ABF0D-B29A-4345-BD05-3DBE33C9C3B3",
              "versionEndExcluding": "21.0.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        },
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:h:geovision:gv-vms:20:*:*:*:*:*:*:*",
              "matchCriteriaId": "7158CB54-54B4-45D7-9D21-2EC82123D4FB",
              "vulnerable": false
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ],
      "operator": "AND"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "A stack overflow vulnerability exists in the WebCam Server Login functionality of GeoVision GV-VMS V20 20.0.2. A specially crafted HTTP request can lead to an arbitrary code execution. An attacker can make an unauthenticated HTTP request to trigger this vulnerability.\n\n#### Stack-overflow via unconstrained sscanf\n\nThe call to `sscanf` at [1] to split the `Buffer` variable into the `username` and `password` variables doesn\u0027t limit the size of the extracted content to match the destination buffers\u0027 sizes. In this case, if either the username or password decoded from the authorization string exceeds `40` characters (the size the stack variables  `username` and `password`) then a stack overflow will occur. \n\n\n\nThe data is controlled by an attacker, but sronger constraints (e.g. no null bytes) may make exploitation harder. A successful attack could  lead to full code execution as SYSTEM on the machine running the service."
    }
  ],
  "id": "CVE-2026-7372",
  "lastModified": "2026-06-17T11:02:18.257",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.0,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.2,
        "impactScore": 6.0,
        "source": "0df08a0e-a200-4957-9bb0-084f562506f9",
        "type": "Secondary"
      },
      {
        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.0,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.2,
        "impactScore": 6.0,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-7372",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-05-04T00:00:00+00:00",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-05-04T01:16:04.730",
  "references": [
    {
      "source": "0df08a0e-a200-4957-9bb0-084f562506f9",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://talosintelligence.com/vulnerability_reports/"
    },
    {
      "source": "0df08a0e-a200-4957-9bb0-084f562506f9",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://www.geovision.com.tw/cyber_security.php"
    }
  ],
  "sourceIdentifier": "0df08a0e-a200-4957-9bb0-084f562506f9",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-787"
        }
      ],
      "source": "0df08a0e-a200-4957-9bb0-084f562506f9",
      "type": "Secondary"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.



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.