GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

FKIE_CVE-2018-18986

Vulnerability from fkie_nvd - Published: 2019-02-05 18:29 - Updated: 2026-06-17 01:48
Summary
LCDS Laquis SCADA prior to version 4.1.0.4150 allows the opening of a specially crafted report format file that may cause an out of bounds read, which may cause a system crash, allow data exfiltration, or remote code execution.
Impacted products
Vendor Product Version
lcds laquis_scada *

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "LCDS Laquis SCADA",
          "vendor": "LCDS",
          "versions": [
            {
              "status": "affected",
              "version": "All versions prior to version 4.1.0.4150"
            }
          ]
        }
      ],
      "source": "ics-cert@hq.dhs.gov"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:lcds:laquis_scada:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "A410DB6E-D5ED-411B-85EF-8445506E147A",
              "versionEndExcluding": "4.1.0.4150",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "LCDS Laquis SCADA prior to version 4.1.0.4150 allows the opening of a specially crafted report format file that may cause an out of bounds read, which may cause a system crash, allow data exfiltration, or remote code execution."
    },
    {
      "lang": "es",
      "value": "LCDS Laquis SCADA, en versiones anteriores a la 4.1.0.4150, permite la apertura de un archivo de formato de informe especialmente manipulado que podr\u00eda causar el cierre inesperado del sistema, permitir la exfiltraci\u00f3n de datos o la ejecuci\u00f3n remota de c\u00f3digo."
    }
  ],
  "id": "CVE-2018-18986",
  "lastModified": "2026-06-17T01:48:13.477",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "HIGH",
        "cvssData": {
          "accessComplexity": "MEDIUM",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "COMPLETE",
          "baseScore": 8.3,
          "confidentialityImpact": "PARTIAL",
          "integrityImpact": "PARTIAL",
          "vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:C",
          "version": "2.0"
        },
        "exploitabilityScore": 8.6,
        "impactScore": 8.5,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": true
      }
    ],
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 7.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2019-02-05T18:29:00.553",
  "references": [
    {
      "source": "ics-cert@hq.dhs.gov",
      "tags": [
        "Third Party Advisory",
        "VDB Entry"
      ],
      "url": "http://www.securityfocus.com/bid/106634"
    },
    {
      "source": "ics-cert@hq.dhs.gov",
      "tags": [
        "Third Party Advisory",
        "US Government Resource"
      ],
      "url": "https://ics-cert.us-cert.gov/advisories/ICSA-19-015-01"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Third Party Advisory",
        "VDB Entry"
      ],
      "url": "http://www.securityfocus.com/bid/106634"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Third Party Advisory",
        "US Government Resource"
      ],
      "url": "https://ics-cert.us-cert.gov/advisories/ICSA-19-015-01"
    }
  ],
  "sourceIdentifier": "ics-cert@hq.dhs.gov",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-787"
        }
      ],
      "source": "ics-cert@hq.dhs.gov",
      "type": "Secondary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-125"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…