CVE-2026-53937 (GCVE-0-2026-53937)
Vulnerability from cvelistv5 – Published: 2026-09-08 23:21 – Updated: 2026-09-08 23:22
VLAI
EPSS
VEX
Title
MCP Kotlin SDK's unbounded line buffer in StdioServerTransport/StdioClientTransport leads to memory exhaustion (DoS)
Summary
MCP Kotlin SDK is the Kotlin Multiplatform software development kit for the Model Context Protocol. In versions 0.7.0 through 0.12.0, `ReadBuffer.append` in `kotlin-sdk-core/src/commonMain/kotlin/io/modelcontextprotocol/kotlin/sdk/shared/ReadBuffer.kt` writes every chunk of bytes received from the stdio transport into a `kotlinx.io.Buffer` with no size cap. Frames are extracted from that buffer only when a `\n` (0x0a) byte is observed. A peer that streams bytes without ever sending a newline causes the internal buffer to grow indefinitely until the JVM (or the surrounding host process) is OOM-killed. The leak is amplified by `StdioServerTransport` and `StdioClientTransport`, which both queue raw chunks through a `kotlinx.coroutines.channels.Channel<ByteArray>(Channel.UNLIMITED)` and then call `readBuffer.append(chunk)` without backpressure or size guard. This is a remote-pre-auth denial of service whenever an SDK stdio server's stdin is fed by an untrusted or attacker-controlled producer (for example: a host program that exec's the MCP server as a subprocess and pipes through bytes received from a network peer, or a sidecar wrapper that proxies bytes from an HTTP endpoint to the stdio transport). Version 0.13.0 fixes the issue.
Severity
6.2 (Medium)
CWE
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/modelcontextprotocol/kotlin-sd… | x_refsource_CONFIRM |
| https://github.com/modelcontextprotocol/kotlin-sd… | x_refsource_MISC |
| https://github.com/modelcontextprotocol/kotlin-sd… | x_refsource_MISC |
| https://github.com/modelcontextprotocol/kotlin-sd… | x_refsource_MISC |
Impacted products
4 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| modelcontextprotocol | io.modelcontextprotocol:kotlin-sdk |
Affected:
< 0.13.0
|
guessed | |
| modelcontextprotocol | io.modelcontextprotocol:kotlin-sdk-client |
Affected:
>= 0.7.0, < 0.13.0
|
guessed | |
| modelcontextprotocol | io.modelcontextprotocol:kotlin-sdk-core |
Affected:
< 0.13.0
|
guessed | |
| modelcontextprotocol | io.modelcontextprotocol:kotlin-sdk-server |
Affected:
>= 0.7.0, < 0.13.0
|
guessed |
{
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{
"product": "io.modelcontextprotocol:kotlin-sdk",
"vendor": "modelcontextprotocol",
"versions": [
{
"status": "affected",
"version": "\u003c 0.13.0"
}
]
},
{
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"vendor": "modelcontextprotocol",
"versions": [
{
"status": "affected",
"version": "\u003e= 0.7.0, \u003c 0.13.0"
}
]
},
{
"product": "io.modelcontextprotocol:kotlin-sdk-core",
"vendor": "modelcontextprotocol",
"versions": [
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"version": "\u003c 0.13.0"
}
]
},
{
"product": "io.modelcontextprotocol:kotlin-sdk-server",
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"versions": [
{
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"version": "\u003e= 0.7.0, \u003c 0.13.0"
}
]
}
],
"descriptions": [
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"lang": "en",
"value": "MCP Kotlin SDK is the Kotlin Multiplatform software development kit for the Model Context Protocol. In versions 0.7.0 through 0.12.0, `ReadBuffer.append` in `kotlin-sdk-core/src/commonMain/kotlin/io/modelcontextprotocol/kotlin/sdk/shared/ReadBuffer.kt` writes every chunk of bytes received from the stdio transport into a `kotlinx.io.Buffer` with no size cap. Frames are extracted from that buffer only when a `\\n` (0x0a) byte is observed. A peer that streams bytes without ever sending a newline causes the internal buffer to grow indefinitely until the JVM (or the surrounding host process) is OOM-killed. The leak is amplified by `StdioServerTransport` and `StdioClientTransport`, which both queue raw chunks through a `kotlinx.coroutines.channels.Channel\u003cByteArray\u003e(Channel.UNLIMITED)` and then call `readBuffer.append(chunk)` without backpressure or size guard. This is a remote-pre-auth denial of service whenever an SDK stdio server\u0027s stdin is fed by an untrusted or attacker-controlled producer (for example: a host program that exec\u0027s the MCP server as a subprocess and pipes through bytes received from a network peer, or a sidecar wrapper that proxies bytes from an HTTP endpoint to the stdio transport). Version 0.13.0 fixes the issue."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.2,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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{
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{
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"description": "CWE-770: Allocation of Resources Without Limits or Throttling",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-08T23:22:04.726Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/modelcontextprotocol/kotlin-sdk/security/advisories/GHSA-74gp-qhv5-v493",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/modelcontextprotocol/kotlin-sdk/security/advisories/GHSA-74gp-qhv5-v493"
},
{
"name": "https://github.com/modelcontextprotocol/kotlin-sdk/commit/6e6f80512fb8fcc9f3c031cfd693ccbcf9c4aaab",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/modelcontextprotocol/kotlin-sdk/commit/6e6f80512fb8fcc9f3c031cfd693ccbcf9c4aaab"
},
{
"name": "https://github.com/modelcontextprotocol/kotlin-sdk/blob/6d5bac1/kotlin-sdk-core/src/commonMain/kotlin/io/modelcontextprotocol/kotlin/sdk/shared/ReadBuffer.kt",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/modelcontextprotocol/kotlin-sdk/blob/6d5bac1/kotlin-sdk-core/src/commonMain/kotlin/io/modelcontextprotocol/kotlin/sdk/shared/ReadBuffer.kt"
},
{
"name": "https://github.com/modelcontextprotocol/kotlin-sdk/releases/tag/0.13.0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/modelcontextprotocol/kotlin-sdk/releases/tag/0.13.0"
}
],
"source": {
"advisory": "GHSA-74gp-qhv5-v493",
"discovery": "UNKNOWN"
},
"title": "MCP Kotlin SDK\u0027s unbounded line buffer in StdioServerTransport/StdioClientTransport leads to memory exhaustion (DoS)"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-53937",
"datePublished": "2026-09-08T23:21:46.554Z",
"dateReserved": "2026-06-11T15:46:12.318Z",
"dateUpdated": "2026-09-08T23:22:04.726Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-53937",
"date": "2026-09-09",
"epss": "0.00186",
"percentile": "0.08357"
},
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}
}
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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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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.
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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