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CVE-2026-82742: CWE-400 Uncontrolled Resource Consumption in ash-project ash

0
Medium
VulnerabilityCVE-2026-82742cvecve-2026-82742cwe-400
Published: 09/01/2026 (09/01/2026, 03:35:18 UTC)
Source: CVE Database V5
Vendor/Project: ash-project
Product: ash

Description

Uncontrolled Resource Consumption vulnerability in ash-project ash lets an attacker exhaust node memory by matching a filter that spans multiple to-many relationships in memory. Ash.Filter.Runtime matches a filter against an in-memory record by first expanding the record into combinations of its related rows. flatten_relationships/2 (lib/ash/filter/runtime.ex) eagerly built the full Cartesian product across the filter's to-many relationship paths, so a record with K to-many relationships of M rows each materialized on the order of M^K scenarios before any predicate was checked. A filter or dataset that reaches several sizeable to-many relationships therefore allocates memory combinatorially and can exhaust the node. The fix streams the expansion lazily and short-circuits on the first matching scenario, bounding the work. This issue affects ash: from 1.29.0-rc0 before 3.32.2.

CVSS v4.0

Score 5.9medium

Attack Vector
Local
Attack Complexity
Low
Attack Requirements
Present
Privileges Required
None
User Interaction
None
Vuln. Confidentiality
None
Vuln. Integrity
None
Vuln. Availability
High
Subsq. Confidentiality
None
Subsq. Integrity
None
Subsq. Availability
None
CVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Affected software

ash-project

ash

Affected versions
>=1.29.0-rc0 <3.32.2

ash-project

ash

ash
pkg:hex/ash
Affected versions
>=1.29.0-rc0 <3.32.2
GitHub Actionsmore threats →cve
ash-project/ash
pkg:github/ash-project/ash
CPE configurations
cpe:2.3:a:ash-project:ash:*:*:*:*:*:*:*:*

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 09/07/2026, 15:05:56 UTC

Technical Analysis

The vulnerability in ash-project ash (CVE-2026-82742) is caused by the Ash.Filter.Runtime module's flatten_relationships/2 function, which eagerly constructs the full Cartesian product of to-many relationship paths when matching filters against in-memory records. For a record with K to-many relationships each having M rows, this results in approximately M^K combinations being materialized before any predicate evaluation, leading to uncontrolled memory consumption. An attacker can exploit this by crafting filters that span multiple sizeable to-many relationships, causing the node to exhaust its memory resources. The fix involves streaming the expansion lazily and short-circuiting upon the first matching scenario to limit resource usage. The vulnerability affects ash versions from 1.29.0-rc0 before 3.32.2. No patch or official remediation level has been confirmed.

Potential Impact

An attacker can cause the ash node to exhaust its memory by submitting filters that trigger the eager expansion of multiple to-many relationships, leading to uncontrolled resource consumption. This can degrade service availability or cause denial of service due to memory exhaustion. There is no indication of privilege escalation, data disclosure, or code execution from the provided data.

Mitigation Recommendations

Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, avoid using filters that span multiple to-many relationships on large datasets to reduce the risk of memory exhaustion. Monitor application behavior for signs of excessive memory use when applying complex filters.

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Technical Details

Data Version
5.2
Assigner Short Name
EEF
Date Reserved
2026-08-31T01:00:09.774Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 6a964c16acd9273b492d135d

Added to database: 09/01/2026, 03:52:54 UTC

Last enriched: 09/07/2026, 15:05:56 UTC

Last updated: 10/15/2026, 18:48:24 UTC

Views: 78

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