CVE-2025-8075 (GCVE-0-2025-8075)

Vulnerability from cvelistv5 – Published: 2025-12-26 04:31 – Updated: 2025-12-26 16:01
VLAI
Title
Improper Input Validation
Summary
Cybersecurity Nozomi Networks Labs, a specialized security company focused on Industrial Control Systems (ICS) and OT/IoT security, has discovered that validation of incoming XML format request messages is inadequate. This vulnerability could allow an attacker to XSS on the user's browser. The manufacturer has released patch firmware for the flaw, please refer to the manufacturer's report for details and workarounds.
Severity
5.8 (Medium)
CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-26 16:01 UTC
CWE
  • CWE-20 - Improper Input Validation
Assigner
References
Impacted products
Vendor Product Version
Hanwha Vision Co., Ltd. QNV-C8012 Affected: Prior to version 2.22.05
Create a notification for this product.
Show details on NVD website
To clipboard 

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-8075",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-12-26T16:01:07.031195Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-12-26T16:01:16.611Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "QNV-C8012",
          "vendor": "Hanwha Vision Co., Ltd.",
          "versions": [
            {
              "status": "affected",
              "version": "Prior to version 2.22.05"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "\u003cdiv\u003e\u003cdiv\u003eCybersecurity Nozomi Networks Labs, a specialized security company focused on Industrial Control Systems (ICS) and OT/IoT security, has discovered that validation of incoming XML format request messages is inadequate. This vulnerability could allow an attacker to XSS on the user\u0027s browser. The manufacturer has released patch firmware for the flaw, please refer to the manufacturer\u0027s report for details and workarounds.\u003c/div\u003e\u003c/div\u003e"
            }
          ],
          "value": "Cybersecurity Nozomi Networks Labs, a specialized security company focused on Industrial Control Systems (ICS) and OT/IoT security, has discovered that validation of incoming XML format request messages is inadequate. This vulnerability could allow an attacker to XSS on the user\u0027s browser. The manufacturer has released patch firmware for the flaw, please refer to the manufacturer\u0027s report for details and workarounds."
        }
      ],
      "impacts": [
        {
          "capecId": "CAPEC-153",
          "descriptions": [
            {
              "lang": "en",
              "value": "CAPEC-153 Input Data Manipulation"
            }
          ]
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "Automatable": "NOT_DEFINED",
            "Recovery": "NOT_DEFINED",
            "Safety": "NOT_DEFINED",
            "attackComplexity": "LOW",
            "attackRequirements": "PRESENT",
            "attackVector": "NETWORK",
            "baseScore": 5.8,
            "baseSeverity": "MEDIUM",
            "exploitMaturity": "NOT_DEFINED",
            "privilegesRequired": "LOW",
            "providerUrgency": "NOT_DEFINED",
            "subAvailabilityImpact": "HIGH",
            "subConfidentialityImpact": "HIGH",
            "subIntegrityImpact": "HIGH",
            "userInteraction": "NONE",
            "valueDensity": "NOT_DEFINED",
            "vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H",
            "version": "4.0",
            "vulnAvailabilityImpact": "NONE",
            "vulnConfidentialityImpact": "NONE",
            "vulnIntegrityImpact": "NONE",
            "vulnerabilityResponseEffort": "NOT_DEFINED"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-20",
              "description": "CWE-20 Improper Input Validation",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-12-26T04:31:38.718Z",
        "orgId": "fc9afe74-3f80-4fb7-a313-e6f036a89882",
        "shortName": "Hanwha_Vision"
      },
      "references": [
        {
          "url": "https://www.hanwhavision.com/wp-content/uploads/2025/12/Camera-Vulnerability-ReportCVE-2025-5259852601-8075.pdf"
        }
      ],
      "source": {
        "discovery": "UNKNOWN"
      },
      "title": "Improper Input Validation",
      "x_generator": {
        "engine": "Vulnogram 0.5.0"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "fc9afe74-3f80-4fb7-a313-e6f036a89882",
    "assignerShortName": "Hanwha_Vision",
    "cveId": "CVE-2025-8075",
    "datePublished": "2025-12-26T04:31:38.718Z",
    "dateReserved": "2025-07-23T06:07:30.973Z",
    "dateUpdated": "2025-12-26T16:01:16.611Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2025-8075",
      "date": "2026-10-03",
      "epss": "0.00201",
      "percentile": "0.09071"
    },
    "vulnrichment": {
      "containers": {
        "adp": [
          {
            "metrics": [
              {
                "other": {
                  "content": {
                    "id": "CVE-2025-8075",
                    "options": [
                      {
                        "Exploitation": "none"
                      },
                      {
                        "Automatable": "no"
                      },
                      {
                        "Technical Impact": "partial"
                      }
                    ],
                    "role": "CISA Coordinator",
                    "timestamp": "2025-12-26T16:01:07.031195Z",
                    "version": "2.0.3"
                  },
                  "type": "ssvc"
                }
              }
            ],
            "providerMetadata": {
              "dateUpdated": "2025-12-26T16:01:10.345Z",
              "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "shortName": "CISA-ADP"
            },
            "title": "CISA ADP Vulnrichment"
          }
        ],
        "cna": {
          "affected": [
            {
              "defaultStatus": "unaffected",
              "product": "QNV-C8012",
              "vendor": "Hanwha Vision Co., Ltd.",
              "versions": [
                {
                  "status": "affected",
                  "version": "Prior to version 2.22.05"
                }
              ]
            }
          ],
          "descriptions": [
            {
              "lang": "en",
              "supportingMedia": [
                {
                  "base64": false,
                  "type": "text/html",
                  "value": "\u003cdiv\u003e\u003cdiv\u003eCybersecurity Nozomi Networks Labs, a specialized security company focused on Industrial Control Systems (ICS) and OT/IoT security, has discovered that validation of incoming XML format request messages is inadequate. This vulnerability could allow an attacker to XSS on the user\u0027s browser. The manufacturer has released patch firmware for the flaw, please refer to the manufacturer\u0027s report for details and workarounds.\u003c/div\u003e\u003c/div\u003e"
                }
              ],
              "value": "Cybersecurity Nozomi Networks Labs, a specialized security company focused on Industrial Control Systems (ICS) and OT/IoT security, has discovered that validation of incoming XML format request messages is inadequate. This vulnerability could allow an attacker to XSS on the user\u0027s browser. The manufacturer has released patch firmware for the flaw, please refer to the manufacturer\u0027s report for details and workarounds."
            }
          ],
          "impacts": [
            {
              "capecId": "CAPEC-153",
              "descriptions": [
                {
                  "lang": "en",
                  "value": "CAPEC-153 Input Data Manipulation"
                }
              ]
            }
          ],
          "metrics": [
            {
              "cvssV4_0": {
                "Automatable": "NOT_DEFINED",
                "Recovery": "NOT_DEFINED",
                "Safety": "NOT_DEFINED",
                "attackComplexity": "LOW",
                "attackRequirements": "PRESENT",
                "attackVector": "NETWORK",
                "baseScore": 5.8,
                "baseSeverity": "MEDIUM",
                "exploitMaturity": "NOT_DEFINED",
                "privilegesRequired": "LOW",
                "providerUrgency": "NOT_DEFINED",
                "subAvailabilityImpact": "HIGH",
                "subConfidentialityImpact": "HIGH",
                "subIntegrityImpact": "HIGH",
                "userInteraction": "NONE",
                "valueDensity": "NOT_DEFINED",
                "vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H",
                "version": "4.0",
                "vulnAvailabilityImpact": "NONE",
                "vulnConfidentialityImpact": "NONE",
                "vulnIntegrityImpact": "NONE",
                "vulnerabilityResponseEffort": "NOT_DEFINED"
              },
              "format": "CVSS",
              "scenarios": [
                {
                  "lang": "en",
                  "value": "GENERAL"
                }
              ]
            }
          ],
          "problemTypes": [
            {
              "descriptions": [
                {
                  "cweId": "CWE-20",
                  "description": "CWE-20 Improper Input Validation",
                  "lang": "en",
                  "type": "CWE"
                }
              ]
            }
          ],
          "providerMetadata": {
            "dateUpdated": "2025-12-26T04:31:38.718Z",
            "orgId": "fc9afe74-3f80-4fb7-a313-e6f036a89882",
            "shortName": "Hanwha_Vision"
          },
          "references": [
            {
              "url": "https://www.hanwhavision.com/wp-content/uploads/2025/12/Camera-Vulnerability-ReportCVE-2025-5259852601-8075.pdf"
            }
          ],
          "source": {
            "discovery": "UNKNOWN"
          },
          "title": "Improper Input Validation",
          "x_generator": {
            "engine": "Vulnogram 0.5.0"
          }
        }
      },
      "cveMetadata": {
        "assignerOrgId": "fc9afe74-3f80-4fb7-a313-e6f036a89882",
        "assignerShortName": "Hanwha_Vision",
        "cveId": "CVE-2025-8075",
        "datePublished": "2025-12-26T04:31:38.718Z",
        "dateReserved": "2025-07-23T06:07:30.973Z",
        "dateUpdated": "2025-12-26T16:01:16.611Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



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.


Detection rules are retrieved from Rulezet.


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.