GHSA-3HJ2-HH36-HV9V

Vulnerability from github – Published: 2021-08-25 20:51 – Updated: 2023-06-13 22:11
VLAI
Summary
Data race in va-ts
Details

In the affected versions of this crate, Demuxer unconditionally implemented Send with no trait bounds on T. This allows sending a non-Send type T across thread boundaries, which can cause undefined behavior like unlocking a mutex from a thread that didn't lock the mutex, or memory corruption from data race. The flaw was corrected in commit 0562cbf by adding a T: Send bound to the Send impl for Demuxer.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "crates.io",
        "name": "va-ts"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.0.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2020-36220"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-662",
      "CWE-667",
      "CWE-787"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-08-19T18:47:06Z",
    "nvd_published_at": null,
    "severity": "MODERATE"
  },
  "details": "In the affected versions of this crate, Demuxer\u003cT\u003e unconditionally implemented Send with no trait bounds on T. This allows sending a non-Send type T across thread boundaries, which can cause undefined behavior like unlocking a mutex from a thread that didn\u0027t lock the mutex, or memory corruption from data race. The flaw was corrected in commit `0562cbf` by adding a T: Send bound to the Send impl for Demuxer\u003cT\u003e.",
  "id": "GHSA-3hj2-hh36-hv9v",
  "modified": "2023-06-13T22:11:43Z",
  "published": "2021-08-25T20:51:56Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-36220"
    },
    {
      "type": "WEB",
      "url": "https://github.com/video-audio/va-ts/issues/4"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/video-audio/va-ts"
    },
    {
      "type": "WEB",
      "url": "https://rustsec.org/advisories/RUSTSEC-2020-0114.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Data race in va-ts"
}



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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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