GHSA-HRJM-C879-PP86

Vulnerability from github – Published: 2021-08-25 20:46 – Updated: 2023-08-25 00:12
VLAI
Summary
libsecp256k1 contains side-channel timing attack
Details

Versions of libsecp256k1 prior to 0.3.1 did not execute Scalar::check_overflow in constant time. This allows an attacker to potentially leak information via a timing attack. The flaw was corrected by modifying Scalar::check_overflow to execute in constant time.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "crates.io",
        "name": "libsecp256k1"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.3.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2019-25003"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-208"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-08-19T21:19:40Z",
    "nvd_published_at": null,
    "severity": "HIGH"
  },
  "details": "Versions of libsecp256k1 prior to 0.3.1 did not execute `Scalar::check_overflow` in constant time. This allows an attacker to potentially leak information via a timing attack. The flaw was corrected by modifying `Scalar::check_overflow` to execute in constant time.",
  "id": "GHSA-hrjm-c879-pp86",
  "modified": "2023-08-25T00:12:24Z",
  "published": "2021-08-25T20:46:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-25003"
    },
    {
      "type": "WEB",
      "url": "https://github.com/paritytech/libsecp256k1/commit/11ba23a9766a5079918cd9f515bc100bc8164b50"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/paritytech/libsecp256k1"
    },
    {
      "type": "WEB",
      "url": "https://rustsec.org/advisories/RUSTSEC-2019-0027.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "libsecp256k1 contains side-channel timing attack"
}



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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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