BREW-DVC-CVE-2023-32731 (GHSA-CFGP-2977-2FMM)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:44 – Updated: 2026-09-09 23:52 – Source website
VLAI
Summary
Connection confusion in gRPC
Details
When gRPC HTTP2 stack raised a header size exceeded error, it skipped parsing the rest of the HPACK frame. This caused any HPACK table mutations to also be skipped, resulting in a desynchronization of HPACK tables between sender and receiver. If leveraged, say, between a proxy and a backend, this could lead to requests from the proxy being interpreted as containing headers from different proxy clients - leading to an information leak that can be used for privilege escalation or data exfiltration.
Severity
7.4 (High)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "grpcio",
"resource_purl": "pkg:pypi/grpcio@1.83.1",
"upstream_fixed_in": "1.54.2"
},
"package": {
"ecosystem": "Homebrew",
"name": "dvc",
"purl": "pkg:brew/dvc"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.67.1_14"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/grpcio@1.83.1",
"name": "grpcio",
"resource": "grpcio",
"strategy": "registry",
"subject_version": "1.83.1"
}
]
},
"details": "When gRPC HTTP2 stack raised a header size exceeded error, it skipped parsing the rest of the HPACK frame. This caused any HPACK table mutations to also be skipped, resulting in a desynchronization of HPACK tables between sender and receiver. If leveraged, say, between a proxy and a backend, this could lead to requests from the proxy being interpreted as containing headers from different proxy clients - leading to an information leak that can be used for privilege escalation or data exfiltration.",
"id": "BREW-dvc-CVE-2023-32731",
"modified": "2026-09-09T23:52:57Z",
"published": "2026-08-13T16:44:03Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-32731"
},
{
"type": "WEB",
"url": "https://github.com/grpc/grpc/issues/33463"
},
{
"type": "WEB",
"url": "https://github.com/grpc/grpc/pull/32309"
},
{
"type": "WEB",
"url": "https://github.com/grpc/grpc/pull/33005"
},
{
"type": "WEB",
"url": "https://github.com/grpc/grpc/commit/29d8beee0ac2555773b2a2dda5601c74a95d6c10"
},
{
"type": "WEB",
"url": "https://github.com/grpc/grpc/commit/65a2a895afaf1d2072447b9baf246374b182a946"
},
{
"type": "WEB",
"url": "https://github.com/grpc/grpc/releases/tag/v1.53.1"
},
{
"type": "WEB",
"url": "https://github.com/grpc/grpc/releases/tag/v1.54.2"
},
{
"type": "WEB",
"url": "https://github.com/rubysec/ruby-advisory-db/blob/master/gems/grpc/CVE-2023-32731.yml"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "Connection confusion in gRPC",
"upstream": [
"GHSA-cfgp-2977-2fmm",
"CVE-2023-32731",
"PYSEC-2026-1427"
]
}
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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
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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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