CVE-2026-50125 (GCVE-0-2026-50125)
Vulnerability from cvelistv5 – Published: 2026-09-17 19:52 – Updated: 2026-09-17 19:52
VLAI
EPSS
VEX
Title
MKP: Unbounded Pod Log Read via Attacker-Controlled `limitBytes`/`tailLines` Causes Memory Exhaustion
Summary
MKP is a Model Context Protocol server for Kubernetes. Prior to 0.4.1, cmd/server/main.go exposes the default HTTP endpoint and pkg/mcp/server.go registers the unauthenticated get_resource tool, which accepts attacker-controlled limitBytes and tailLines values for the pods logs subresource. buildPodLogOpts() in pkg/k8s/subresource.go parses those values as unbounded int64 parameters, and defaultGetPodLogs() copies the returned Kubernetes log stream through io.Copy into an in-memory bytes.Buffer without an application-side cap. A remote attacker who can reach the default port 8080 MCP endpoint and select a pod with sufficiently large accumulated logs can send one tools/call request that causes large allocations and additional response copies, while the request-frequency limiter does not constrain per-request volume. This can exhaust process memory, terminate the MKP server, and deny the MCP service; observed testing showed more than one GiB of RSS growth while handling a 128 MiB requested stream. This issue is fixed in version 0.4.1.
Severity
7.5 (High)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/StacklokLabs/mkp/security/advi… | x_refsource_CONFIRM |
| https://github.com/StacklokLabs/mkp/commit/37bf6b… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| StacklokLabs | mkp |
Affected:
< 0.4.1
|
guessed |
{
"containers": {
"cna": {
"affected": [
{
"product": "mkp",
"vendor": "StacklokLabs",
"versions": [
{
"status": "affected",
"version": "\u003c 0.4.1"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "MKP is a Model Context Protocol server for Kubernetes. Prior to 0.4.1, cmd/server/main.go exposes the default HTTP endpoint and pkg/mcp/server.go registers the unauthenticated get_resource tool, which accepts attacker-controlled limitBytes and tailLines values for the pods logs subresource. buildPodLogOpts() in pkg/k8s/subresource.go parses those values as unbounded int64 parameters, and defaultGetPodLogs() copies the returned Kubernetes log stream through io.Copy into an in-memory bytes.Buffer without an application-side cap. A remote attacker who can reach the default port 8080 MCP endpoint and select a pod with sufficiently large accumulated logs can send one tools/call request that causes large allocations and additional response copies, while the request-frequency limiter does not constrain per-request volume. This can exhaust process memory, terminate the MKP server, and deny the MCP service; observed testing showed more than one GiB of RSS growth while handling a 128 MiB requested stream. This issue is fixed in version 0.4.1."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-400",
"description": "CWE-400: Uncontrolled Resource Consumption",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-17T19:52:37.550Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/StacklokLabs/mkp/security/advisories/GHSA-qw5r-ppcg-f8rj",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/StacklokLabs/mkp/security/advisories/GHSA-qw5r-ppcg-f8rj"
},
{
"name": "https://github.com/StacklokLabs/mkp/commit/37bf6bac862aa3b1c71b8aa1b8364eae7818962d",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/StacklokLabs/mkp/commit/37bf6bac862aa3b1c71b8aa1b8364eae7818962d"
}
],
"source": {
"advisory": "GHSA-qw5r-ppcg-f8rj",
"discovery": "UNKNOWN"
},
"title": "MKP: Unbounded Pod Log Read via Attacker-Controlled `limitBytes`/`tailLines` Causes Memory Exhaustion"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-50125",
"datePublished": "2026-09-17T19:52:37.550Z",
"dateReserved": "2026-06-03T18:49:32.275Z",
"dateUpdated": "2026-09-17T19:52:37.550Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-50125",
"date": "2026-09-18",
"epss": "0.0041",
"percentile": "0.34954"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "mkp",
"vendor": "StacklokLabs",
"versions": [
{
"status": "affected",
"version": "\u003c 0.4.1"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "MKP is a Model Context Protocol server for Kubernetes. Prior to 0.4.1, cmd/server/main.go exposes the default HTTP endpoint and pkg/mcp/server.go registers the unauthenticated get_resource tool, which accepts attacker-controlled limitBytes and tailLines values for the pods logs subresource. buildPodLogOpts() in pkg/k8s/subresource.go parses those values as unbounded int64 parameters, and defaultGetPodLogs() copies the returned Kubernetes log stream through io.Copy into an in-memory bytes.Buffer without an application-side cap. A remote attacker who can reach the default port 8080 MCP endpoint and select a pod with sufficiently large accumulated logs can send one tools/call request that causes large allocations and additional response copies, while the request-frequency limiter does not constrain per-request volume. This can exhaust process memory, terminate the MKP server, and deny the MCP service; observed testing showed more than one GiB of RSS growth while handling a 128 MiB requested stream. This issue is fixed in version 0.4.1."
}
],
"id": "CVE-2026-50125",
"lastModified": "2026-09-17T20:16:50.127",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "security-advisories@github.com",
"type": "Secondary"
}
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},
"published": "2026-09-17T20:16:50.127",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/StacklokLabs/mkp/commit/37bf6bac862aa3b1c71b8aa1b8364eae7818962d"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/StacklokLabs/mkp/security/advisories/GHSA-qw5r-ppcg-f8rj"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-400"
}
],
"source": "security-advisories@github.com",
"type": "Primary"
}
]
}
}
}
}
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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.
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- 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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