BREW-BAGELS-CVE-2025-69228 (GHSA-6JHG-HG63-JVVF)

Vulnerability from osv_homebrew – Published: 2026-08-13 16:37 – Updated: 2026-09-17 17:50 – Source website
VLAI
Summary
AIOHTTP vulnerable to denial of service through large payloads
Details

Summary

A request can be crafted in such a way that an aiohttp server's memory fills up uncontrollably during processing.

Impact

If an application includes a handler that uses the Request.post() method, an attacker may be able to freeze the server by exhausting the memory.


Patch: https://github.com/aio-libs/aiohttp/commit/b7dbd35375aedbcd712cbae8ad513d56d11cce60


{
  "affected": [
    {
      "ecosystem_specific": {
        "fix": "bump",
        "range_state": "fixed",
        "resource": "aiohttp",
        "resource_purl": "pkg:pypi/aiohttp@3.14.3",
        "upstream_fixed_in": "3.13.3"
      },
      "package": {
        "ecosystem": "Homebrew",
        "name": "bagels",
        "purl": "pkg:brew/bagels"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0.3.6"
            },
            {
              "fixed": "0.3.12_4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "database_specific": {
    "confidence": "high",
    "source": "matched",
    "strategy": "registry",
    "upstream_evidence": [
      {
        "ecosystem": "PyPI",
        "key": "pkg:pypi/aiohttp@3.14.3",
        "name": "aiohttp",
        "resource": "aiohttp",
        "strategy": "registry",
        "subject_version": "3.14.3"
      }
    ]
  },
  "details": "### Summary\nA request can be crafted in such a way that an aiohttp server\u0027s memory fills up uncontrollably during processing.\n\n### Impact\nIf an application includes a handler that uses the `Request.post()` method, an attacker may be able to freeze the server by exhausting the memory.\n\n-----\n\nPatch: https://github.com/aio-libs/aiohttp/commit/b7dbd35375aedbcd712cbae8ad513d56d11cce60",
  "id": "BREW-bagels-CVE-2025-69228",
  "modified": "2026-09-17T17:50:28Z",
  "published": "2026-08-13T16:37:04Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/aio-libs/aiohttp/security/advisories/GHSA-6jhg-hg63-jvvf"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-69228"
    },
    {
      "type": "WEB",
      "url": "https://github.com/aio-libs/aiohttp/commit/b7dbd35375aedbcd712cbae8ad513d56d11cce60"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/aio-libs/aiohttp"
    }
  ],
  "schema_version": "1.7.3",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:U",
      "type": "CVSS_V4"
    }
  ],
  "summary": "AIOHTTP vulnerable to  denial of service through large payloads",
  "upstream": [
    "GHSA-6jhg-hg63-jvvf",
    "CVE-2025-69228",
    "PYSEC-2026-1100"
  ]
}



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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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