GSD-2022-3577

Vulnerability from gsd - Updated: 2023-12-13 01:19
Details
An out-of-bounds memory write flaw was found in the Linux kernel’s Kid-friendly Wired Controller driver. This flaw allows a local user to crash or potentially escalate their privileges on the system. It is in bigben_probe of drivers/hid/hid-bigbenff.c. The reason is incorrect assumption - bigben devices all have inputs. However, malicious devices can break this assumption, leaking to out-of-bound write.
Aliases
Aliases

{
  "GSD": {
    "alias": "CVE-2022-3577",
    "id": "GSD-2022-3577",
    "references": [
      "https://www.suse.com/security/cve/CVE-2022-3577.html"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
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      ],
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      "id": "GSD-2022-3577",
      "modified": "2023-12-13T01:19:40.238896Z",
      "schema_version": "1.4.0"
    }
  },
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          }
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      "impact": {
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "exploitabilityScore": 1.8,
          "impactScore": 5.9
        }
      },
      "lastModifiedDate": "2023-02-09T16:15Z",
      "publishedDate": "2022-10-20T17:15Z"
    }
  }
}



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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.

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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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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