FKIE_CVE-2026-107840
Vulnerability from fkie_nvd - Published: 2026-10-09 18:17 - Updated: 2026-10-09 20:17
Severity
Summary
yopass is a service for securely sharing secrets, passwords, and files. Prior to version 14.7.0, the Prometheus metrics middleware in pkg/server/server.go uses the attacker-controlled r.Method value directly as the method label for yopass_http_requests_total and yopass_http_request_duration_seconds. Because the catch-all route accepts arbitrary HTTP method tokens, an unauthenticated remote attacker can submit many unique methods and create metric series that the Prometheus registry never evicts. The resulting monotonic memory growth can OOM-kill the process, while the expanding registry also degrades /metrics scrape latency and can blind monitoring. This issue is fixed in version 14.7.0.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "yopass",
"vendor": "jhaals",
"versions": [
{
"status": "affected",
"version": "\u003c 14.7.0"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "yopass is a service for securely sharing secrets, passwords, and files. Prior to version 14.7.0, the Prometheus metrics middleware in pkg/server/server.go uses the attacker-controlled r.Method value directly as the method label for yopass_http_requests_total and yopass_http_request_duration_seconds. Because the catch-all route accepts arbitrary HTTP method tokens, an unauthenticated remote attacker can submit many unique methods and create metric series that the Prometheus registry never evicts. The resulting monotonic memory growth can OOM-kill the process, while the expanding registry also degrades /metrics scrape latency and can blind monitoring. This issue is fixed in version 14.7.0."
}
],
"id": "CVE-2026-107840",
"lastModified": "2026-10-09T20:17:09.900",
"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"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-107840",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-10-09T19:25:13.327928Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-10-09T18:17:05.953",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/jhaals/yopass/commit/61e31ead04a4fc27ce80bed226af41c7c0426ccf"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/jhaals/yopass/commit/78d0c14f7085048130199662a2ec8a18ec8d6ebb"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/jhaals/yopass/pull/3773"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/jhaals/yopass/releases/tag/14.7.0"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/jhaals/yopass/security/advisories/GHSA-6r69-c6wg-7g8m"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-400"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
Loading…
Loading…
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.
Loading…
Loading…
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.
Loading…
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.
Loading…