FKIE_CVE-2025-50740

Vulnerability from fkie_nvd - Published: 2025-08-06 21:15 - Updated: 2026-06-17 09:35
Summary
AutoConnect 1.4.2, an Arduino library, is vulnerable to a cross site scripting (xss) vulnerability. The AutoConnect web interface /_ac/config allows HTML/JS code to be executed via a crafted network SSID.
Impacted products
Vendor Product Version

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "source": "cve@mitre.org"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "AutoConnect 1.4.2, an Arduino library, is vulnerable to a cross site scripting (xss) vulnerability. The AutoConnect web interface /_ac/config allows HTML/JS code to be executed via a crafted network SSID."
    },
    {
      "lang": "es",
      "value": "AutoConnect 1.4.2, una librer\u00eda de Arduino, es vulnerable a cross site scripting (xss). La interfaz web de AutoConnect /_ac/config permite ejecutar c\u00f3digo HTML/JS mediante un SSID de red manipulado."
    }
  ],
  "id": "CVE-2025-50740",
  "lastModified": "2026-06-17T09:35:21.203",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 6.1,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "LOW",
          "integrityImpact": "LOW",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 2.7,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2025-50740",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-08-07T14:05:15.584854Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2025-08-06T21:15:29.430",
  "references": [
    {
      "source": "cve@mitre.org",
      "url": "https://github.com/AbhijithAJ/AutoConnect_IoT_Lib_vulnerability/blob/main/Report.pdf"
    },
    {
      "source": "cve@mitre.org",
      "url": "https://github.com/Hieromon/AutoConnect/issues/632"
    },
    {
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "url": "https://github.com/AbhijithAJ/AutoConnect_IoT_Lib_vulnerability/blob/main/Report.pdf"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-79"
        }
      ],
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "type": "Secondary"
    }
  ]
}



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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

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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.
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  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
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  • 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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