CVE-2026-92792 (GCVE-0-2026-92792)
Vulnerability from cvelistv5 – Published: 2026-09-16 20:32 – Updated: 2026-09-16 20:32
VLAI
EPSS
VEX
Title
OpenNHP through 1.0.2 Authentication Bypass via Fallback Verifier
Summary
OpenNHP through 1.0.2 selects its trusted-execution attestation verifier based on attacker-supplied evidence containing a test_purpose key, causing the FallbackVerifier to execute unconditionally. Attackers can bypass attestation verification by including the test_purpose key in evidence and providing enrolled measure and serial number pairs from the allowlist to gain unauthorized access.
Severity
CWE
- CWE-287 - Improper Authentication
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/OpenNHP/opennhp/issues/1732 | issue-tracking |
| https://github.com/OpenNHP/opennhp | product |
| https://github.com/OpenNHP/opennhp/blob/v1.0.2/nh… | technical-description |
| https://www.vulncheck.com/advisories/opennhp-thro… | third-party-advisory |
Impacted products
Date Public
2026-09-14 00:00
{
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"affected": [
{
"defaultStatus": "unaffected",
"product": "opennhp",
"vendor": "OpenNHP",
"versions": [
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"lessThanOrEqual": "1.0.2",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"credits": [
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"lang": "en",
"type": "finder",
"value": "George Chen"
}
],
"datePublic": "2026-09-14T00:00:00.000Z",
"descriptions": [
{
"lang": "en",
"value": "OpenNHP through 1.0.2 selects its trusted-execution attestation verifier based on attacker-supplied evidence containing a test_purpose key, causing the FallbackVerifier to execute unconditionally. Attackers can bypass attestation verification by including the test_purpose key in evidence and providing enrolled measure and serial number pairs from the allowlist to gain unauthorized access."
}
],
"metrics": [
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"attackVector": "NETWORK",
"baseScore": 8.7,
"baseSeverity": "HIGH",
"privilegesRequired": "NONE",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "NONE"
},
"format": "CVSS"
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{
"cvssV3_1": {
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"attackVector": "NETWORK",
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"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"format": "CVSS"
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-287",
"description": "Improper Authentication",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-16T20:32:47.538Z",
"orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"shortName": "VulnCheck"
},
"references": [
{
"name": "GitHub Issue #1732",
"tags": [
"issue-tracking"
],
"url": "https://github.com/OpenNHP/opennhp/issues/1732"
},
{
"tags": [
"product"
],
"url": "https://github.com/OpenNHP/opennhp"
},
{
"name": "the fallback verifier always succeeds and is selected by an evidence key",
"tags": [
"technical-description"
],
"url": "https://github.com/OpenNHP/opennhp/blob/v1.0.2/nhp/core/verifier/verifier.go#L27-L92"
},
{
"name": "VulnCheck Advisory: OpenNHP through 1.0.2 Authentication Bypass via Fallback Verifier",
"tags": [
"third-party-advisory"
],
"url": "https://www.vulncheck.com/advisories/opennhp-through-1.0.2-authentication-bypass-via-fallback-verifier"
}
],
"title": "OpenNHP through 1.0.2 Authentication Bypass via Fallback Verifier",
"x_generator": {
"engine": "vulncheck-endgame"
}
}
},
"cveMetadata": {
"assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"assignerShortName": "VulnCheck",
"cveId": "CVE-2026-92792",
"datePublished": "2026-09-16T20:32:47.538Z",
"dateReserved": "2026-09-16T19:40:19.806Z",
"dateUpdated": "2026-09-16T20:32:47.538Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
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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.
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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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.
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