CVE-2026-28675 (GCVE-0-2026-28675)
Vulnerability from cvelistv5 – Published: 2026-03-06 04:22 – Updated: 2026-03-09 19:49
VLAI
EPSS
VEX
Title
OpenSift: Sensitive implementation details exposed via raw exception messages and token-returning endpoints
Summary
OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Prior to version 1.6.3-alpha, some endpoints returned raw exception strings to clients. Additionally, login token material was exposed in UI/rendered responses and token rotation output. This issue has been patched in version 1.6.3-alpha.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-09 19:49 UTC
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/OpenSift/OpenSift/security/adv… | x_refsource_CONFIRM |
| https://github.com/OpenSift/OpenSift/pull/67 | x_refsource_MISC |
| https://github.com/OpenSift/OpenSift/commit/1126e… | x_refsource_MISC |
| https://github.com/OpenSift/OpenSift/commit/de99b9c | x_refsource_MISC |
| https://github.com/OpenSift/OpenSift/releases/tag… | x_refsource_MISC |
Impacted products
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-28675",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-09T19:49:13.118951Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-03-09T19:49:23.221Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "OpenSift",
"vendor": "OpenSift",
"versions": [
{
"status": "affected",
"version": "\u003c 1.6.3-alpha"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Prior to version 1.6.3-alpha, some endpoints returned raw exception strings to clients. Additionally, login token material was exposed in UI/rendered responses and token rotation output. This issue has been patched in version 1.6.3-alpha."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-200",
"description": "CWE-200: Exposure of Sensitive Information to an Unauthorized Actor",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-209",
"description": "CWE-209: Generation of Error Message Containing Sensitive Information",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-03-06T04:22:58.374Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/OpenSift/OpenSift/security/advisories/GHSA-667g-rvcj-w976",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/OpenSift/OpenSift/security/advisories/GHSA-667g-rvcj-w976"
},
{
"name": "https://github.com/OpenSift/OpenSift/pull/67",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/OpenSift/OpenSift/pull/67"
},
{
"name": "https://github.com/OpenSift/OpenSift/commit/1126e0a503876056a68a434e19f64158a5a4840b",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/OpenSift/OpenSift/commit/1126e0a503876056a68a434e19f64158a5a4840b"
},
{
"name": "https://github.com/OpenSift/OpenSift/commit/de99b9c",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/OpenSift/OpenSift/commit/de99b9c"
},
{
"name": "https://github.com/OpenSift/OpenSift/releases/tag/v1.6.3-alpha",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/OpenSift/OpenSift/releases/tag/v1.6.3-alpha"
}
],
"source": {
"advisory": "GHSA-667g-rvcj-w976",
"discovery": "UNKNOWN"
},
"title": "OpenSift: Sensitive implementation details exposed via raw exception messages and token-returning endpoints"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-28675",
"datePublished": "2026-03-06T04:22:58.374Z",
"dateReserved": "2026-03-02T21:43:19.926Z",
"dateUpdated": "2026-03-09T19:49:23.221Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-28675",
"date": "2026-11-04",
"epss": "0.00292",
"percentile": "0.21869"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "OpenSift",
"vendor": "OpenSift",
"versions": [
{
"status": "affected",
"version": "\u003c 1.6.3-alpha"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:opensift:opensift:*:*:*:*:*:python:*:*",
"matchCriteriaId": "D1037E2F-1527-4C09-8D8D-78E56E6DDC78",
"versionEndExcluding": "1.6.3",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Prior to version 1.6.3-alpha, some endpoints returned raw exception strings to clients. Additionally, login token material was exposed in UI/rendered responses and token rotation output. This issue has been patched in version 1.6.3-alpha."
},
{
"lang": "es",
"value": "OpenSift es una herramienta de estudio de IA que tamiza grandes conjuntos de datos utilizando b\u00fasqueda sem\u00e1ntica e IA generativa. Antes de la versi\u00f3n 1.6.3-alpha, algunos puntos finales devolv\u00edan cadenas de excepci\u00f3n en bruto a los clientes. Adem\u00e1s, el material del token de inicio de sesi\u00f3n qued\u00f3 expuesto en las respuestas de la interfaz de usuario/renderizadas y en la salida de rotaci\u00f3n de tokens. Este problema ha sido parcheado en la versi\u00f3n 1.6.3-alpha."
}
],
"id": "CVE-2026-28675",
"lastModified": "2026-06-17T10:28:52.667",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-28675",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-09T19:49:13.118951Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-03-06T05:16:35.900",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/OpenSift/OpenSift/commit/1126e0a503876056a68a434e19f64158a5a4840b"
},
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/OpenSift/OpenSift/commit/de99b9c"
},
{
"source": "security-advisories@github.com",
"tags": [
"Issue Tracking",
"Patch"
],
"url": "https://github.com/OpenSift/OpenSift/pull/67"
},
{
"source": "security-advisories@github.com",
"tags": [
"Release Notes"
],
"url": "https://github.com/OpenSift/OpenSift/releases/tag/v1.6.3-alpha"
},
{
"source": "security-advisories@github.com",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "https://github.com/OpenSift/OpenSift/security/advisories/GHSA-667g-rvcj-w976"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-200"
},
{
"lang": "en",
"value": "CWE-209"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2026-03-27T07:49:36+00:00",
"cve": "CVE-2026-28675",
"id": "CVE-2026-28675",
"initial_release_date": "2026-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "OpenSift: Sensitive implementation details exposed via raw exception messages and token-returning endpoints",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-28675.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-28675",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-09T19:49:13.118951Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-03-09T19:49:19.291Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "OpenSift",
"vendor": "OpenSift",
"versions": [
{
"status": "affected",
"version": "\u003c 1.6.3-alpha"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Prior to version 1.6.3-alpha, some endpoints returned raw exception strings to clients. Additionally, login token material was exposed in UI/rendered responses and token rotation output. This issue has been patched in version 1.6.3-alpha."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-200",
"description": "CWE-200: Exposure of Sensitive Information to an Unauthorized Actor",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-209",
"description": "CWE-209: Generation of Error Message Containing Sensitive Information",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-03-06T04:22:58.374Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/OpenSift/OpenSift/security/advisories/GHSA-667g-rvcj-w976",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/OpenSift/OpenSift/security/advisories/GHSA-667g-rvcj-w976"
},
{
"name": "https://github.com/OpenSift/OpenSift/pull/67",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/OpenSift/OpenSift/pull/67"
},
{
"name": "https://github.com/OpenSift/OpenSift/commit/1126e0a503876056a68a434e19f64158a5a4840b",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/OpenSift/OpenSift/commit/1126e0a503876056a68a434e19f64158a5a4840b"
},
{
"name": "https://github.com/OpenSift/OpenSift/commit/de99b9c",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/OpenSift/OpenSift/commit/de99b9c"
},
{
"name": "https://github.com/OpenSift/OpenSift/releases/tag/v1.6.3-alpha",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/OpenSift/OpenSift/releases/tag/v1.6.3-alpha"
}
],
"source": {
"advisory": "GHSA-667g-rvcj-w976",
"discovery": "UNKNOWN"
},
"title": "OpenSift: Sensitive implementation details exposed via raw exception messages and token-returning endpoints"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-28675",
"datePublished": "2026-03-06T04:22:58.374Z",
"dateReserved": "2026-03-02T21:43:19.926Z",
"dateUpdated": "2026-03-09T19:49:23.221Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
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.