CVE-2026-84304 (GCVE-0-2026-84304)
Vulnerability from cvelistv5 – Published: 2026-09-01 18:19 – Updated: 2026-09-01 19:24
VLAI
EPSS
VEX
Title
gRPC-Go: Heap Memory Exhaustion (OOM) via HTTP/2 DATA Frame Fragmentation
Summary
gRPC-Go is the Go language implementation of gRPC. Prior to 1.83.1, internal/transport/transport.go stores each fragmented HTTP/2 DATA frame as a separate recvMsg in recvBuffer, so millions of one-byte frames can consume disproportionate heap memory even when payload bytes remain within connection and stream flow-control windows. An unauthenticated remote attacker can use concurrent multiplexed streams to exhaust process memory and cause a runtime panic or out-of-memory termination. Receive-buffer compaction is enabled by default and can be controlled temporarily with GRPC_GO_EXPERIMENTAL_ENABLE_RECEIVE_BUFFER_COMPACTION. This issue is fixed in version 1.83.1.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-01 19:23 UTC
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/grpc/grpc-go/security/advisori… | x_refsource_CONFIRM |
| https://github.com/grpc/grpc-go/pull/9331 | x_refsource_MISC |
| https://github.com/grpc/grpc-go/pull/9333 | x_refsource_MISC |
| https://github.com/grpc/grpc-go/commit/7354d9c8de… | x_refsource_MISC |
| https://github.com/grpc/grpc-go/commit/8cfeca0e1e… | x_refsource_MISC |
| https://github.com/grpc/grpc-go/releases/tag/v1.83.1 | x_refsource_MISC |
Impacted products
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"source": {
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"discovery": "UNKNOWN"
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|---|
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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.
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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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