CVE-2026-82947 (GCVE-0-2026-82947)

Vulnerability from cvelistv5 – Published: 2026-10-26 08:59 – Updated: 2026-10-26 08:59
VLAI
Title
Multiple Out-of-Bounds Reads in Frame Processing
Summary
SOEM version 2.0.0 and earlier contains multiple vulnerabilities in frame processing where a malicious device can cause the master to read data outside allocated buffers. The software uses length and offset values from device messages without validating them against buffer sizes. This can cause the master to access invalid memory locations, potentially disclosing sensitive information or causing crashes.
Severity
7.1 (High)
CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:L
CWE
  • CWE-125 - Out-of-bounds read
  • CWE-787 - Out-of-bounds write
  • CWE-191 - Integer underflow (wrap or wraparound)
  • CWE-129 - Improper validation of array index
Assigner
ENISA CNA under the ENISA root
CNA scorecard B 80/100 over 54 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
RT-Labs AB SOEM Affected: 0 , < 2.0.1 (semver)
guessed Create a notification for this product.
Credits
f0rw4rd / quellsec.dev, alosafuzz, Brian Willows / graith.co.uk, Mayur Agnihotri
Show details on NVD website
To clipboard 

{
  "containers": {
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "SOEM",
          "vendor": "RT-Labs AB",
          "versions": [
            {
              "lessThan": "2.0.1",
              "status": "affected",
              "version": "0",
              "versionType": "semver"
            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "finder",
          "value": "f0rw4rd / quellsec.dev, alosafuzz, Brian Willows / graith.co.uk, Mayur Agnihotri"
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "SOEM version 2.0.0 and earlier contains multiple vulnerabilities in frame processing where a malicious device can cause the master to read data outside allocated buffers. The software uses length and offset values from device messages without validating them against buffer sizes. This can cause the master to access invalid memory locations, potentially disclosing sensitive information or causing crashes."
            }
          ],
          "value": "SOEM version 2.0.0 and earlier contains multiple vulnerabilities in frame processing where a malicious device can cause the master to read data outside allocated buffers. The software uses length and offset values from device messages without validating them against buffer sizes. This can cause the master to access invalid memory locations, potentially disclosing sensitive information or causing crashes."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "ADJACENT_NETWORK",
            "availabilityImpact": "LOW",
            "baseScore": 7.1,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:L",
            "version": "3.1"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-125",
              "description": "CWE-125 Out-of-bounds read",
              "lang": "en",
              "type": "CWE"
            }
          ]
        },
        {
          "descriptions": [
            {
              "cweId": "CWE-787",
              "description": "CWE-787 Out-of-bounds write",
              "lang": "en",
              "type": "CWE"
            }
          ]
        },
        {
          "descriptions": [
            {
              "cweId": "CWE-191",
              "description": "CWE-191 Integer underflow (wrap or wraparound)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        },
        {
          "descriptions": [
            {
              "cweId": "CWE-129",
              "description": "CWE-129 Improper validation of array index",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-10-26T08:59:09.514Z",
        "orgId": "a6d3dc9e-0591-4a13-bce7-0f5b31ff6158",
        "shortName": "ENISA"
      },
      "references": [
        {
          "tags": [
            "vendor-advisory"
          ],
          "url": "https://rt-labs.com/wp-content/uploads/2026/10/RRTL-260921-01.pdf"
        }
      ],
      "title": "Multiple Out-of-Bounds Reads in Frame Processing",
      "x_generator": {
        "engine": "Vulnogram 1.0.5"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a6d3dc9e-0591-4a13-bce7-0f5b31ff6158",
    "assignerShortName": "ENISA",
    "cveId": "CVE-2026-82947",
    "datePublished": "2026-10-26T08:59:09.514Z",
    "dateReserved": "2026-08-31T12:26:22.054Z",
    "dateUpdated": "2026-10-26T08:59:09.514Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2026-82947",
      "date": "2026-10-26",
      "epss": "0.0017",
      "percentile": "0.06395"
    },
    "nvd": {
      "cve": {
        "affected": [
          {
            "affectedData": [
              {
                "defaultStatus": "unaffected",
                "product": "SOEM",
                "vendor": "RT-Labs AB",
                "versions": [
                  {
                    "lessThan": "2.0.1",
                    "status": "affected",
                    "version": "0",
                    "versionType": "semver"
                  }
                ]
              }
            ],
            "source": "a6d3dc9e-0591-4a13-bce7-0f5b31ff6158"
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "SOEM version 2.0.0 and earlier contains multiple vulnerabilities in frame processing where a malicious device can cause the master to read data outside allocated buffers. The software uses length and offset values from device messages without validating them against buffer sizes. This can cause the master to access invalid memory locations, potentially disclosing sensitive information or causing crashes."
          }
        ],
        "id": "CVE-2026-82947",
        "lastModified": "2026-10-26T13:45:21.740",
        "metrics": {
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "ADJACENT_NETWORK",
                "availabilityImpact": "LOW",
                "baseScore": 7.1,
                "baseSeverity": "HIGH",
                "confidentialityImpact": "HIGH",
                "integrityImpact": "NONE",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:L",
                "version": "3.1"
              },
              "exploitabilityScore": 2.8,
              "impactScore": 4.2,
              "source": "a6d3dc9e-0591-4a13-bce7-0f5b31ff6158",
              "type": "Secondary"
            }
          ]
        },
        "published": "2026-10-26T09:16:36.473",
        "references": [
          {
            "source": "a6d3dc9e-0591-4a13-bce7-0f5b31ff6158",
            "url": "https://rt-labs.com/wp-content/uploads/2026/10/RRTL-260921-01.pdf"
          }
        ],
        "sourceIdentifier": "a6d3dc9e-0591-4a13-bce7-0f5b31ff6158",
        "vulnStatus": "Awaiting Analysis",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-125"
              },
              {
                "lang": "en",
                "value": "CWE-129"
              },
              {
                "lang": "en",
                "value": "CWE-191"
              },
              {
                "lang": "en",
                "value": "CWE-787"
              }
            ],
            "source": "a6d3dc9e-0591-4a13-bce7-0f5b31ff6158",
            "type": "Secondary"
          }
        ]
      }
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.




Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON

Loading timeline…




    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.