CVE-2026-7372 (GCVE-0-2026-7372)

Vulnerability from cvelistv5 – Published: 2026-05-04 00:47 – Updated: 2026-05-15 07:45
VLAI
Title
GeoVision GV-VMS V20 WebCam Server Login stack overflow vulnerability
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.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-04 00:00 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
GeoVision Inc. GV-VMS V20.0.2 Affected: 20.0.2
Unaffected: 20.0.2.10
Unaffected: 20.1.0.0
    cpe:2.3:a:geovision_inc.:gv-vms_v20.0.2:20.0.2:*:windows:*:*:*:*:*
Create a notification for this product.
Date Public
2026-04-27 00:00
Show details on NVD website

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              "url": "https://talosintelligence.com/vulnerability_reports/"
            }
          ],
          "solutions": [
            {
              "lang": "en",
              "supportingMedia": [
                {
                  "base64": false,
                  "type": "text/html",
                  "value": "GeoVision GV-VMS version V20.1.0 has patched the reported vulnerability.\u0026nbsp;\u003cdiv\u003e\u003cbr\u003e\u003c/div\u003e\u003cdiv\u003eUser is recommended to download the update from GeoVision\u0027s offical website\u0026nbsp;(https://www.geovision.com.tw/download/product/GV-VMS%20V20)\u003c/div\u003e\u003cdiv\u003eor contact GeoVision Support team\u003c/div\u003e\u003cdiv\u003e\u003cbr\u003e\u003c/div\u003e\u003cdiv\u003e\u003cdiv\u003eFor User currently running V20.0.2 may also visit the following link to download the V20.0.2.10\u0026nbsp;patch file that fixed the vulnerability.\u0026nbsp;\u003c/div\u003e\u003cdiv\u003ehttps://php.gvdip.com/phpbb3/viewtopic.php?t=3326\u003c/div\u003e\u003c/div\u003e\u003cdiv\u003e\u003cbr\u003e\u003c/div\u003e"
                }
              ],
              "value": "GeoVision GV-VMS version V20.1.0 has patched the reported vulnerability.\u00a0\n\n\nUser is recommended to download the update from GeoVision\u0027s offical website\u00a0(https://www.geovision.com.tw/download/product/GV-VMS%20V20)\n\nor contact GeoVision Support team\n\n\n\n\nFor User currently running V20.0.2 may also visit the following link to download the V20.0.2.10\u00a0patch file that fixed the vulnerability.\u00a0\n\nhttps://php.gvdip.com/phpbb3/viewtopic.php?t=3326"
            }
          ],
          "source": {
            "advisory": "TALOS-2026-2369",
            "discovery": "EXTERNAL"
          },
          "timeline": [
            {
              "lang": "en",
              "time": "2026-02-17T01:38:00.000Z",
              "value": "Initial Vendor Contact"
            }
          ],
          "title": "GeoVision GV-VMS V20 WebCam Server Login stack overflow vulnerability",
          "x_generator": {
            "engine": "Vulnogram 1.0.1"
          }
        }
      },
      "cveMetadata": {
        "assignerOrgId": "0df08a0e-a200-4957-9bb0-084f562506f9",
        "assignerShortName": "GV",
        "cveId": "CVE-2026-7372",
        "datePublished": "2026-05-04T00:47:36.651Z",
        "dateReserved": "2026-04-28T23:12:55.269Z",
        "dateUpdated": "2026-05-15T07:45:38.690Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



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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.

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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.


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