CVE-2026-52880 (GCVE-0-2026-52880)
Vulnerability from cvelistv5 – Published: 2026-08-07 22:53 – Updated: 2026-08-07 22:53
VLAI
EPSS
VEX
Title
Klever-Go: REST API slow-header connection exhaustion via Gin Engine.Run
Summary
Klever-Go is the Go implementation of the Klever blockchain protocol. Versions from 1.7.14 through 1.7.17 are vulnerable to a remotely triggerable denial of service. Both REST APIs are started with the Gin Engine.Run convenience method, which serves requests through Go's default HTTP server with no ReadHeaderTimeout, ReadTimeout, or MaxHeaderBytes configured. As a result, incoming connections that never complete their request headers are held open indefinitely. When a REST listener is reachable beyond localhost through the documented all-interface bind or a Docker port-publish deployment, a single unauthenticated client can open many slow-header connections and hold them open until server file descriptors are exhausted, preventing the API from accepting new connections. This renders the REST API unavailable to legitimate clients. This issue is fixed in version 1.7.18.
Severity
7.5 (High)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/klever-io/klever-go/security/a… | x_refsource_CONFIRM |
| https://github.com/klever-io/klever-go/releases/t… | x_refsource_MISC |
Impacted products
{
"containers": {
"cna": {
"affected": [
{
"product": "klever-go",
"vendor": "klever-io",
"versions": [
{
"status": "affected",
"version": "\u003e= 1.7.14, \u003c 1.7.18"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Klever-Go is the Go implementation of the Klever blockchain protocol. Versions from 1.7.14 through 1.7.17 are vulnerable to a remotely triggerable denial of service. Both REST APIs are started with the Gin Engine.Run convenience method, which serves requests through Go\u0027s default HTTP server with no ReadHeaderTimeout, ReadTimeout, or MaxHeaderBytes configured. As a result, incoming connections that never complete their request headers are held open indefinitely. When a REST listener is reachable beyond localhost through the documented all-interface bind or a Docker port-publish deployment, a single unauthenticated client can open many slow-header connections and hold them open until server file descriptors are exhausted, preventing the API from accepting new connections. This renders the REST API unavailable to legitimate clients. This issue is fixed in version 1.7.18."
}
],
"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"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-770",
"description": "CWE-770: Allocation of Resources Without Limits or Throttling",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-08-07T22:53:41.291Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/klever-io/klever-go/security/advisories/GHSA-w4c6-7r69-w7j9",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/klever-io/klever-go/security/advisories/GHSA-w4c6-7r69-w7j9"
},
{
"name": "https://github.com/klever-io/klever-go/releases/tag/v1.7.18",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/klever-io/klever-go/releases/tag/v1.7.18"
}
],
"source": {
"advisory": "GHSA-w4c6-7r69-w7j9",
"discovery": "UNKNOWN"
},
"title": "Klever-Go: REST API slow-header connection exhaustion via Gin Engine.Run"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-52880",
"datePublished": "2026-08-07T22:53:41.291Z",
"dateReserved": "2026-06-08T21:44:27.364Z",
"dateUpdated": "2026-08-07T22:53:41.291Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-52880",
"date": "2026-08-10",
"epss": "0.00294",
"percentile": "0.21678"
},
"nvd": "{\"cve\":{\"id\":\"CVE-2026-52880\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2026-08-07T23:17:04.890\",\"lastModified\":\"2026-08-07T23:17:04.890\",\"vulnStatus\":\"Received\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"Klever-Go is the Go implementation of the Klever blockchain protocol. Versions from 1.7.14 through 1.7.17 are vulnerable to a remotely triggerable denial of service. Both REST APIs are started with the Gin Engine.Run convenience method, which serves requests through Go\u0027s default HTTP server with no ReadHeaderTimeout, ReadTimeout, or MaxHeaderBytes configured. As a result, incoming connections that never complete their request headers are held open indefinitely. When a REST listener is reachable beyond localhost through the documented all-interface bind or a Docker port-publish deployment, a single unauthenticated client can open many slow-header connections and hold them open until server file descriptors are exhausted, preventing the API from accepting new connections. This renders the REST API unavailable to legitimate clients. This issue is fixed in version 1.7.18.\"}],\"affected\":[{\"source\":\"security-advisories@github.com\",\"affectedData\":[{\"vendor\":\"klever-io\",\"product\":\"klever-go\",\"versions\":[{\"version\":\"\u003e= 1.7.14, \u003c 1.7.18\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H\",\"baseScore\":7.5,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":3.9,\"impactScore\":3.6}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-400\"},{\"lang\":\"en\",\"value\":\"CWE-770\"}]}],\"references\":[{\"url\":\"https://github.com/klever-io/klever-go/releases/tag/v1.7.18\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/klever-io/klever-go/security/advisories/GHSA-w4c6-7r69-w7j9\",\"source\":\"security-advisories@github.com\"}]}}",
"suse_vex": {
"aggregate_severity": "important",
"current_release_date": "2026-08-08T23:29:38Z",
"cve": "CVE-2026-52880",
"id": "CVE-2026-52880",
"initial_release_date": "2026-07-30T16:41:54Z",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2026-52880",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2026-52880.json",
"version": "3"
}
}
}
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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.
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