FKIE_CVE-2023-4020

Vulnerability from fkie_nvd - Published: 2023-12-15 21:15 - Updated: 2026-06-17 06:36
Summary
An unvalidated input in a library function responsible for communicating between secure and non-secure memory in Silicon Labs TrustZone implementation allows reading/writing of memory in the secure region of memory from the non-secure region of memory.
Impacted products
Vendor Product Version
silabs gecko_software_development_kit *

{
  "affected": [
    {
      "affectedData": [
        {
          "defaultStatus": "unaffected",
          "product": "GSDK",
          "vendor": "silabs.com",
          "versions": [
            {
              "lessThan": "4.4.0",
              "status": "affected",
              "version": "1.0",
              "versionType": "patch"
            }
          ]
        }
      ],
      "source": "product-security@silabs.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:silabs:gecko_software_development_kit:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "1CCF9CCF-153F-40B5-941A-A430C146C3BA",
              "versionEndExcluding": "4.4.0",
              "versionStartIncluding": "1.0.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "An unvalidated input in a library function responsible for communicating between secure and non-secure memory in Silicon Labs TrustZone implementation allows reading/writing of memory in the secure region of memory from the non-secure region of memory."
    },
    {
      "lang": "es",
      "value": "Una entrada no validada en una funci\u00f3n de librer\u00eda responsable de la comunicaci\u00f3n entre la memoria segura y no segura en la implementaci\u00f3n TrustZone de Silicon Labs permite la lectura/escritura de la memoria en la regi\u00f3n segura de la memoria desde la regi\u00f3n no segura de la memoria."
    }
  ],
  "id": "CVE-2023-4020",
  "lastModified": "2026-06-17T06:36:55.697",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "NONE",
          "baseScore": 9.0,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 2.5,
        "impactScore": 5.8,
        "source": "product-security@silabs.com",
        "type": "Secondary"
      },
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 9.1,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.2,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2023-12-15T21:15:08.560",
  "references": [
    {
      "source": "product-security@silabs.com",
      "tags": [
        "Permissions Required"
      ],
      "url": "https://community.silabs.com/069Vm0000004b95IAA"
    },
    {
      "source": "product-security@silabs.com",
      "tags": [
        "Release Notes"
      ],
      "url": "https://github.com/SiliconLabs/gecko_sdk/releases"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Permissions Required"
      ],
      "url": "https://community.silabs.com/069Vm0000004b95IAA"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Release Notes"
      ],
      "url": "https://github.com/SiliconLabs/gecko_sdk/releases"
    }
  ],
  "sourceIdentifier": "product-security@silabs.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-125"
        },
        {
          "lang": "en",
          "value": "CWE-787"
        }
      ],
      "source": "product-security@silabs.com",
      "type": "Secondary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "NVD-CWE-noinfo"
        }
      ],
      "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…

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…