GHSA-MFJ3-87QQ-382V

Vulnerability from github – Published: 2026-10-08 16:31 – Updated: 2026-10-08 16:31
VLAI
Summary
AsyncHttpClient: Digest authentication cnonce generated with a non-cryptographic random source
Details

Impact

The client nonce used in HTTP Digest authentication was generated from ThreadLocalRandom, a fast but non-cryptographic pseudorandom number generator. RFC 7616 section 3.3 requires the cnonce to be unpredictable, since it is part of what protects the Digest exchange against chosen-plaintext and precomputation attacks on the credentials. An attacker able to observe or influence enough of the generator's output could reduce the unpredictability the protocol depends on. NTLM (and, on the 3.x line, SCRAM) in this client already use SecureRandom for their own nonces; Digest did not.

Affected versions

  • 3.x: up to and including 3.0.11
  • 2.x: up to and including 2.16.0

Patches

Fixed in 3.0.12 on the 3.x line and in 2.16.1 on the 2.x line. The cnonce is now generated with SecureRandom, matching the other authentication schemes in the client.

Workarounds

None available from application code.

Details

Realm.Builder's cnonce generation seeded its bytes from ThreadLocalRandom.current() rather than a SecureRandom instance.

Severity
3.7 (Low)
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N
Show details on source website
To clipboard 

{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 3.0.11"
      },
      "package": {
        "ecosystem": "Maven",
        "name": "org.asynchttpclient:async-http-client"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "3.0.0"
            },
            {
              "fixed": "3.0.12"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 2.16.0"
      },
      "package": {
        "ecosystem": "Maven",
        "name": "org.asynchttpclient:async-http-client"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.0.0"
            },
            {
              "fixed": "2.16.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-107283"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-338"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-10-08T16:31:04Z",
    "nvd_published_at": "2026-10-07T22:17:04Z",
    "severity": "LOW"
  },
  "details": "### Impact\nThe client nonce used in HTTP Digest authentication was generated from ThreadLocalRandom, a fast but non-cryptographic pseudorandom number generator. RFC 7616 section 3.3 requires the cnonce to be unpredictable, since it is part of what protects the Digest exchange against chosen-plaintext and precomputation attacks on the credentials. An attacker able to observe or influence enough of the generator\u0027s output could reduce the unpredictability the protocol depends on. NTLM (and, on the 3.x line, SCRAM) in this client already use SecureRandom for their own nonces; Digest did not.\n\n### Affected versions\n* 3.x: up to and including 3.0.11\n* 2.x: up to and including 2.16.0\n\n### Patches\nFixed in 3.0.12 on the 3.x line and in 2.16.1 on the 2.x line. The cnonce is now generated with SecureRandom, matching the other authentication schemes in the client.\n\n### Workarounds\nNone available from application code.\n\n### Details\nRealm.Builder\u0027s cnonce generation seeded its bytes from ThreadLocalRandom.current() rather than a SecureRandom instance.",
  "id": "GHSA-mfj3-87qq-382v",
  "modified": "2026-10-08T16:31:04Z",
  "published": "2026-10-08T16:31:04Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/AsyncHttpClient/async-http-client/security/advisories/GHSA-mfj3-87qq-382v"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-107283"
    },
    {
      "type": "WEB",
      "url": "https://github.com/AsyncHttpClient/async-http-client/commit/dca2d90db87f0144ea893a6858dca13c426d06b6"
    },
    {
      "type": "WEB",
      "url": "https://github.com/AsyncHttpClient/async-http-client/commit/e1f5fc88fe211d3f64032c33b91093ba3d5e793d"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/AsyncHttpClient/async-http-client"
    },
    {
      "type": "WEB",
      "url": "https://github.com/AsyncHttpClient/async-http-client/releases/tag/async-http-client-project-2.16.1"
    },
    {
      "type": "WEB",
      "url": "https://github.com/AsyncHttpClient/async-http-client/releases/tag/async-http-client-project-3.0.12"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "AsyncHttpClient: Digest authentication cnonce generated with a non-cryptographic random source"
}



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.