BREW-BTCLI-CVE-2026-34519 (GHSA-MWH4-6H8G-PG8W)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:38 – Updated: 2026-09-17 17:33 – Source website
VLAI
Summary
AIOHTTP has HTTP response splitting via \r in reason phrase
Details
Summary
An attacker who controls the reason parameter when creating a Response may be able to inject extra headers or similar exploits.
Impact
In the unlikely situation that an application allows untrusted data to be used in the response's reason parameter, then an attacker could manipulate the response to send something different from what the developer intended.
Patch: https://github.com/aio-libs/aiohttp/commit/53b35a2f8869c37a133e60bf1a82a1c01642ba2b
Severity
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "aiohttp",
"resource_purl": "pkg:pypi/aiohttp@3.14.1",
"upstream_fixed_in": "3.13.4"
},
"package": {
"ecosystem": "Homebrew",
"name": "btcli",
"purl": "pkg:brew/btcli"
},
"ranges": [
{
"events": [
{
"introduced": "9.5.1"
},
{
"fixed": "9.20.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/aiohttp@3.14.1",
"name": "aiohttp",
"resource": "aiohttp",
"strategy": "registry",
"subject_version": "3.14.1"
}
]
},
"details": "### Summary\n\nAn attacker who controls the `reason` parameter when creating a `Response` may be able to inject extra headers or similar exploits.\n\n### Impact\n\nIn the unlikely situation that an application allows untrusted data to be used in the response\u0027s `reason` parameter, then an attacker could manipulate the response to send something different from what the developer intended.\n\n-----\n\nPatch: https://github.com/aio-libs/aiohttp/commit/53b35a2f8869c37a133e60bf1a82a1c01642ba2b",
"id": "BREW-btcli-CVE-2026-34519",
"modified": "2026-09-17T17:33:48Z",
"published": "2026-08-13T16:38:25Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/aio-libs/aiohttp/security/advisories/GHSA-mwh4-6h8g-pg8w"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34519"
},
{
"type": "WEB",
"url": "https://github.com/aio-libs/aiohttp/commit/53b35a2f8869c37a133e60bf1a82a1c01642ba2b"
},
{
"type": "PACKAGE",
"url": "https://github.com/aio-libs/aiohttp"
},
{
"type": "WEB",
"url": "https://github.com/aio-libs/aiohttp/releases/tag/v3.13.4"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:U",
"type": "CVSS_V4"
}
],
"summary": "AIOHTTP has HTTP response splitting via \\r in reason phrase",
"upstream": [
"GHSA-mwh4-6h8g-pg8w",
"CVE-2026-34519",
"PYSEC-2026-2101"
]
}
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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.
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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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.
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