CVE-2026-70395 (GCVE-0-2026-70395)
Vulnerability from cvelistv5 – Published: 2026-08-09 18:17 – Updated: 2026-08-10 18:23
VLAI
EPSS
VEX
Title
Predicate injection in manage_relationship belongs_to lookup discloses secret lookup keys in Ash
Summary
Improper Neutralization of Special Elements in Data Query Logic vulnerability in ash-project ash allows an attacker to forge a relationship to a record they cannot name, and to recover the secret value used to look it up.
When manage_relationship is used with on_lookup: :relate on a belongs_to relationship, the client-supplied lookup value is passed to Ash.Query.filter/2 without being cast to the attribute type. A nested map submitted where a scalar is expected is therefore interpreted as a filter predicate rather than a literal, so a lookup for a specific record becomes a query for any record matching a condition. The same path omits Ash.Query.limit(1), leaving Ash.read_one/2 able to distinguish no match from one match from several, which turns comparison predicates into an oracle for the lookup value. Authorization is unaffected; the destination read policy still applies.
This issue affects ash: from 1.52.0-rc.11 before 3.31.1.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-10 15:56 UTC
CWE
- CWE-943 - Improper Neutralization of Special Elements in Data Query Logic
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/ash-project/ash/security/advis… | relatedvendor-advisory |
| https://cna.erlef.org/cves/CVE-2026-70395.html | related |
| https://osv.dev/vulnerability/EEF-CVE-2026-70395 | related |
| https://github.com/ash-project/ash/commit/09f4259… | patch |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ash-project | ash |
Affected:
1.52.0-rc.11 , < 3.31.1
(semver)
cpe:2.3:a:ash-project:ash:*:*:*:*:*:*:*:* |
||
| ash-project | ash |
Affected:
571c138140e71cea24005189f45d7a63c8d2ed20 , < 09f42593035bceb0f6153dd7ee45cc49d108300a
(git)
cpe:2.3:a:ash-project:ash:*:*:*:*:*:*:*:* |
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"value": "A belongs_to relationship must be managed with manage_relationship using on_lookup: :relate, and the lookup value must come from client input."
}
],
"cpeApplicability": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:ash-project:ash:*:*:*:*:*:*:*:*",
"versionEndExcluding": "3.31.1",
"versionStartIncluding": "1.52.0-rc.11",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
],
"operator": "AND"
}
],
"credits": [
{
"lang": "en",
"type": "finder",
"value": "Jisung Chae"
},
{
"lang": "en",
"type": "remediation developer",
"value": "Zach Daniel"
},
{
"lang": "en",
"type": "analyst",
"value": "Jonatan M\u00e4nnchen / EEF"
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cp\u003eImproper Neutralization of Special Elements in Data Query Logic vulnerability in ash-project ash allows an attacker to forge a relationship to a record they cannot name, and to recover the secret value used to look it up.\u003c/p\u003e\n\u003cp\u003eWhen \u003ccode\u003emanage_relationship\u003c/code\u003e is used with \u003ccode\u003eon_lookup: :relate\u003c/code\u003e on a \u003ccode\u003ebelongs_to\u003c/code\u003e relationship, the client-supplied lookup value is passed to \u003ccode\u003eAsh.Query.filter/2\u003c/code\u003e without being cast to the attribute type. A nested map submitted where a scalar is expected is therefore interpreted as a filter predicate rather than a literal, so a lookup for a specific record becomes a query for any record matching a condition. The same path omits \u003ccode\u003eAsh.Query.limit(1)\u003c/code\u003e, leaving \u003ccode\u003eAsh.read_one/2\u003c/code\u003e able to distinguish no match from one match from several, which turns comparison predicates into an oracle for the lookup value. Authorization is unaffected; the destination read policy still applies.\u003c/p\u003e\n\u003cp\u003eThis issue affects ash: from 1.52.0-rc.11 before 3.31.1.\u003c/p\u003e"
},
{
"base64": false,
"type": "text/markdown",
"value": "Improper Neutralization of Special Elements in Data Query Logic vulnerability in ash-project ash allows an attacker to forge a relationship to a record they cannot name, and to recover the secret value used to look it up.\n\nWhen `manage_relationship` is used with `on_lookup: :relate` on a `belongs_to` relationship, the client-supplied lookup value is passed to `Ash.Query.filter/2` without being cast to the attribute type. A nested map submitted where a scalar is expected is therefore interpreted as a filter predicate rather than a literal, so a lookup for a specific record becomes a query for any record matching a condition. The same path omits `Ash.Query.limit(1)`, leaving `Ash.read_one/2` able to distinguish no match from one match from several, which turns comparison predicates into an oracle for the lookup value. Authorization is unaffected; the destination read policy still applies.\n\nThis issue affects ash: from 1.52.0-rc.11 before 3.31.1."
}
],
"value": "Improper Neutralization of Special Elements in Data Query Logic vulnerability in ash-project ash allows an attacker to forge a relationship to a record they cannot name, and to recover the secret value used to look it up.\n\nWhen manage_relationship is used with on_lookup: :relate on a belongs_to relationship, the client-supplied lookup value is passed to Ash.Query.filter/2 without being cast to the attribute type. A nested map submitted where a scalar is expected is therefore interpreted as a filter predicate rather than a literal, so a lookup for a specific record becomes a query for any record matching a condition. The same path omits Ash.Query.limit(1), leaving Ash.read_one/2 able to distinguish no match from one match from several, which turns comparison predicates into an oracle for the lookup value. Authorization is unaffected; the destination read policy still applies.\n\nThis issue affects ash: from 1.52.0-rc.11 before 3.31.1."
}
],
"impacts": [
{
"capecId": "CAPEC-116",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-116 Excavation"
}
]
}
],
"metrics": [
{
"cvssV4_0": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "PRESENT",
"attackVector": "LOCAL",
"baseScore": 2.1,
"baseSeverity": "LOW",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:N/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "LOW",
"vulnIntegrityImpact": "LOW",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-943",
"description": "CWE-943 Improper Neutralization of Special Elements in Data Query Logic",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-08-09T18:17:07.321Z",
"orgId": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db",
"shortName": "EEF"
},
"references": [
{
"tags": [
"related",
"vendor-advisory"
],
"url": "https://github.com/ash-project/ash/security/advisories/GHSA-vvp6-3wv6-833j"
},
{
"tags": [
"related"
],
"url": "https://cna.erlef.org/cves/CVE-2026-70395.html"
},
{
"tags": [
"related"
],
"url": "https://osv.dev/vulnerability/EEF-CVE-2026-70395"
},
{
"tags": [
"patch"
],
"url": "https://github.com/ash-project/ash/commit/09f42593035bceb0f6153dd7ee45cc49d108300a"
}
],
"source": {
"discovery": "EXTERNAL"
},
"title": "Predicate injection in manage_relationship belongs_to lookup discloses secret lookup keys in Ash"
}
},
"cveMetadata": {
"assignerOrgId": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db",
"assignerShortName": "EEF",
"cveId": "CVE-2026-70395",
"datePublished": "2026-08-09T18:17:07.321Z",
"dateReserved": "2026-08-04T14:30:01.369Z",
"dateUpdated": "2026-08-09T18:17:07.321Z",
"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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