GHSA-J6VM-4R7G-X4GR

Vulnerability from github – Published: 2024-11-27 19:01 – Updated: 2024-11-27 19:01
VLAI
Summary
Devolutions.XTS.NET Vulnerable to Timing Attack on GF Multiplications
Details

Impact

Timing attacks on Galois Field multiplications in this package. Successful exploitation would effectively allow a downgrade of the security guarantees of the XTS mode to the security guarantees of ECB mode, allowing block swapping, enabling identification of identical blocks, and rendering half of the XTS key obsolete. Timing attacks require specific conditions to be exploitable.

Patches

Patched in 2024.11.26

Workarounds

Upgrade the package

References

https://en.wikipedia.org/wiki/Timing_attack

Severity
5.1 (Medium)
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N
Show details on source website
To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "NuGet",
        "name": "Devolutions.XTS.NET"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2024.11.26"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-11862"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-385"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-11-27T19:01:01Z",
    "nvd_published_at": "2024-11-27T15:15:25Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nTiming attacks on Galois Field multiplications in this package. Successful exploitation would effectively allow a downgrade of the security guarantees of the XTS mode to the security guarantees of ECB mode, allowing block swapping, enabling identification of identical blocks, and rendering half of the XTS key obsolete. Timing attacks require specific conditions to be exploitable.\n\n### Patches\nPatched in 2024.11.26\n\n### Workarounds\nUpgrade the package\n\n### References\nhttps://en.wikipedia.org/wiki/Timing_attack\n",
  "id": "GHSA-j6vm-4r7g-x4gr",
  "modified": "2024-11-27T19:01:01Z",
  "published": "2024-11-27T19:01:01Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/Devolutions/XTS.NET/security/advisories/GHSA-j6vm-4r7g-x4gr"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-11862"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Devolutions/XTS.NET/commit/fb349d5bfb587218e8603b38ea37f03f036b57fd"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Devolutions/XTS.NET"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Devolutions.XTS.NET Vulnerable to Timing Attack on GF Multiplications"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





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.



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.