GHSA-99P5-QPQX-MHWC

Vulnerability from github – Published: 2023-07-28 15:30 – Updated: 2023-08-03 19:37
VLAI
Summary
Code injection in BoofCV
Details

BoofCV 0.42 was discovered to contain a code injection vulnerability via the component boofcv.io.calibration.CalibrationIO.load. This vulnerability is exploited by loading a crafted camera calibration file.

Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
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{
  "affected": [
    {
      "package": {
        "ecosystem": "Maven",
        "name": "org.boofcv:boofcv-core"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.43.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2023-39010"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-94"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-07-28T20:56:56Z",
    "nvd_published_at": "2023-07-28T15:15:12Z",
    "severity": "CRITICAL"
  },
  "details": "BoofCV 0.42 was discovered to contain a code injection vulnerability via the component boofcv.io.calibration.CalibrationIO.load. This vulnerability is exploited by loading a crafted camera calibration file.",
  "id": "GHSA-99p5-qpqx-mhwc",
  "modified": "2023-08-03T19:37:28Z",
  "published": "2023-07-28T15:30:23Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-39010"
    },
    {
      "type": "WEB",
      "url": "https://github.com/lessthanoptimal/BoofCV/issues/406"
    },
    {
      "type": "WEB",
      "url": "https://github.com/lessthanoptimal/BoofCV/commit/0da6139ff69fd5a49359854ab01935d06c7f5aac"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/lessthanoptimal/BoofCV"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Code injection in BoofCV"
}


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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.

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.