CVE-2026-78230 (GCVE-0-2026-78230)
Vulnerability from cvelistv5 – Published: 2026-09-08 16:41 – Updated: 2026-09-08 17:33
VLAI
EPSS
VEX
Title
AshAi aggregate tool can read field-policy-protected fields
Summary
AshAi exposes Ash read actions to language-model tool calls. The read tool accepts an aggregate result type (min, max, sum, avg) that builds an ad-hoc Ash.Query.Aggregate over a named field and returns its raw value.
Ash field policies redact forbidden fields on returned records (replacing them with %Ash.ForbiddenField{}), but that redaction does not apply to aggregate values. A tool caller could therefore read a field the calling actor's field policies forbid by requesting it as an aggregate; min/max in particular return an actual field value. This includes fields that are public? true but restricted per-actor by a field policy, such as sensitive PII. The tool's existing check only required the field to be public, which is a separate axis from per-actor field-policy authorization.
The fix authorizes the aggregated field against the resource's field policies, so aggregating over a field the actor may not see is refused or scoped to the rows where it is visible.
This issue affects ash_ai: from 0.1.0 before 1.0.3.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-08 17:33 UTC
CWE
- CWE-1220 - Insufficient Granularity of Access Control
Assigner
References
5 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ash-project | ash_ai |
Affected:
0.1.0 , < 1.0.3
(semver)
cpe:2.3:a:ash-project:ash_ai:*:*:*:*:*:*:*:* |
||
| ash-project | ash_ai |
Affected:
2ba234b50946a3b8116190c8467f9f4dfa5edce7 , < 9c02de581625c342c9870a672830bff28c1d701e
(git)
cpe:2.3:a:ash-project:ash_ai:*:*:*:*:*:*:*:* |
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"value": "Reachable only when an application exposes an AshAi read tool over a resource whose field policies restrict a field that the calling actor can still name as an aggregate (for example a `public? true` but field-policy-protected attribute)."
}
],
"value": "Reachable only when an application exposes an AshAi read tool over a resource whose field policies restrict a field that the calling actor can still name as an aggregate (for example a public? true but field-policy-protected attribute)."
}
],
"cpeApplicability": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:ash-project:ash_ai:*:*:*:*:*:*:*:*",
"versionEndExcluding": "1.0.3",
"versionStartIncluding": "0.1.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
],
"operator": "AND"
}
],
"credits": [
{
"lang": "en",
"type": "remediation developer",
"value": "Zach Daniel / Ash Project"
},
{
"lang": "en",
"type": "coordinator",
"value": "Jonatan M\u00e4nnchen / EEF"
},
{
"lang": "en",
"type": "finder",
"value": "Aaron Hong / Remedy"
}
],
"dateAssigned": "2026-09-08T15:44:25.000Z",
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cp\u003eAshAi exposes Ash read actions to language-model tool calls. The read tool accepts an aggregate result type (\u003ccode\u003emin\u003c/code\u003e, \u003ccode\u003emax\u003c/code\u003e, \u003ccode\u003esum\u003c/code\u003e, \u003ccode\u003eavg\u003c/code\u003e) that builds an ad-hoc \u003ccode\u003eAsh.Query.Aggregate\u003c/code\u003e over a named field and returns its raw value.\u003c/p\u003e\n\u003cp\u003eAsh field policies redact forbidden fields on returned records (replacing them with \u003ccode\u003e%Ash.ForbiddenField{}\u003c/code\u003e), but that redaction does not apply to aggregate values. A tool caller could therefore read a field the calling actor\u0027s field policies forbid by requesting it as an aggregate; \u003ccode\u003emin\u003c/code\u003e/\u003ccode\u003emax\u003c/code\u003e in particular return an actual field value. This includes fields that are \u003ccode\u003epublic? true\u003c/code\u003e but restricted per-actor by a field policy, such as sensitive PII. The tool\u0027s existing check only required the field to be public, which is a separate axis from per-actor field-policy authorization.\u003c/p\u003e\n\u003cp\u003eThe fix authorizes the aggregated field against the resource\u0027s field policies, so aggregating over a field the actor may not see is refused or scoped to the rows where it is visible.\u003c/p\u003e\n\u003cp\u003eThis issue affects ash_ai: from 0.1.0 before 1.0.3.\u003c/p\u003e"
},
{
"base64": false,
"type": "text/markdown",
"value": "AshAi exposes Ash read actions to language-model tool calls. The read tool accepts an aggregate result type (`min`, `max`, `sum`, `avg`) that builds an ad-hoc `Ash.Query.Aggregate` over a named field and returns its raw value.\n\nAsh field policies redact forbidden fields on returned records (replacing them with `%Ash.ForbiddenField{}`), but that redaction does not apply to aggregate values. A tool caller could therefore read a field the calling actor\u0027s field policies forbid by requesting it as an aggregate; `min`/`max` in particular return an actual field value. This includes fields that are `public? true` but restricted per-actor by a field policy, such as sensitive PII. The tool\u0027s existing check only required the field to be public, which is a separate axis from per-actor field-policy authorization.\n\nThe fix authorizes the aggregated field against the resource\u0027s field policies, so aggregating over a field the actor may not see is refused or scoped to the rows where it is visible.\n\nThis issue affects ash_ai: from 0.1.0 before 1.0.3."
}
],
"value": "AshAi exposes Ash read actions to language-model tool calls. The read tool accepts an aggregate result type (min, max, sum, avg) that builds an ad-hoc Ash.Query.Aggregate over a named field and returns its raw value.\n\nAsh field policies redact forbidden fields on returned records (replacing them with %Ash.ForbiddenField{}), but that redaction does not apply to aggregate values. A tool caller could therefore read a field the calling actor\u0027s field policies forbid by requesting it as an aggregate; min/max in particular return an actual field value. This includes fields that are public? true but restricted per-actor by a field policy, such as sensitive PII. The tool\u0027s existing check only required the field to be public, which is a separate axis from per-actor field-policy authorization.\n\nThe fix authorizes the aggregated field against the resource\u0027s field policies, so aggregating over a field the actor may not see is refused or scoped to the rows where it is visible.\n\nThis issue affects ash_ai: from 0.1.0 before 1.0.3."
}
],
"impacts": [
{
"capecId": "CAPEC-1",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-1 Accessing Functionality Not Properly Constrained by ACLs"
}
]
}
],
"metrics": [
{
"cvssV4_0": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "PRESENT",
"attackVector": "NETWORK",
"baseScore": 6,
"baseSeverity": "MEDIUM",
"privilegesRequired": "LOW",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-1220",
"description": "CWE-1220 Insufficient Granularity of Access Control",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-08T16:41:45.975Z",
"orgId": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db",
"shortName": "EEF"
},
"references": [
{
"name": "GHSA-v5rw-36x5-r5vx",
"tags": [
"vendor-advisory"
],
"url": "https://github.com/ash-project/ash_ai/security/advisories/GHSA-v5rw-36x5-r5vx"
},
{
"name": "EEF CNA record for CVE-2026-78230",
"tags": [
"related"
],
"url": "https://cna.erlef.org/cves/CVE-2026-78230.html"
},
{
"name": "OSV record EEF-CVE-2026-78230",
"tags": [
"related"
],
"url": "https://osv.dev/vulnerability/EEF-CVE-2026-78230"
},
{
"name": "Introducing commit 2ba234b in ash-project/ash_ai",
"tags": [
"related"
],
"url": "https://github.com/ash-project/ash_ai/commit/2ba234b50946a3b8116190c8467f9f4dfa5edce7"
},
{
"name": "Fix commit 9c02de5 in ash-project/ash_ai",
"tags": [
"patch"
],
"url": "https://github.com/ash-project/ash_ai/commit/9c02de581625c342c9870a672830bff28c1d701e"
}
],
"source": {
"discovery": "EXTERNAL"
},
"title": "AshAi aggregate tool can read field-policy-protected fields"
}
},
"cveMetadata": {
"assignerOrgId": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db",
"assignerShortName": "EEF",
"cveId": "CVE-2026-78230",
"datePublished": "2026-09-08T16:41:45.975Z",
"dateReserved": "2026-08-31T00:45:02.439Z",
"dateUpdated": "2026-09-08T17:33:57.604Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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