GHSA-4FVR-RGM6-GQMC
Vulnerability from github – Published: 2026-06-15 20:10 – Updated: 2026-06-15 20:10
VLAI
Summary
aiohttp: HTTP/1 Pipelined Requests Queue Without Limit
Details
Summary
No limit was present on the number of pipelined requests that could be queued.
Impact
An attacker may be able to use pipelined requests to use excessive amounts of memory, potentially leading to DoS.
Patch: https://github.com/aio-libs/aiohttp/commit/dfdfa9d5aad5d21f91c79fb2ceeba0f8046cb6cf
Severity
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 3.14.0"
},
"package": {
"ecosystem": "PyPI",
"name": "aiohttp"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.14.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-54273"
],
"database_specific": {
"cwe_ids": [
"CWE-770"
],
"github_reviewed": true,
"github_reviewed_at": "2026-06-15T20:10:32Z",
"nvd_published_at": null,
"severity": "MODERATE"
},
"details": "### Summary\n\nNo limit was present on the number of pipelined requests that could be queued.\n\n### Impact\n\nAn attacker may be able to use pipelined requests to use excessive amounts of memory, potentially leading to DoS.\n\n-----\n\nPatch: https://github.com/aio-libs/aiohttp/commit/dfdfa9d5aad5d21f91c79fb2ceeba0f8046cb6cf",
"id": "GHSA-4fvr-rgm6-gqmc",
"modified": "2026-06-15T20:10:32Z",
"published": "2026-06-15T20:10:32Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/aio-libs/aiohttp/security/advisories/GHSA-4fvr-rgm6-gqmc"
},
{
"type": "WEB",
"url": "https://github.com/aio-libs/aiohttp/commit/dfdfa9d5aad5d21f91c79fb2ceeba0f8046cb6cf"
},
{
"type": "PACKAGE",
"url": "https://github.com/aio-libs/aiohttp"
}
],
"schema_version": "1.4.0",
"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: HTTP/1 Pipelined Requests Queue Without Limit"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
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