CVE-2026-82742

Published: Set 01, 2026 Last Modified: Set 01, 2026
ExploitDB:
Other exploit source:
Google Dorks:
MEDIUM 5,9
Source: 6b3ad84c-e1a6-4bf7-a703-f496b71e49db
Attack Vector: local
Attack Complexity: low
Privileges Required: none
User Interaction: none
Confidentiality: N/A
Integrity: N/A
Availability: N/A

Description

AI Translation Available

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.

400

Uncontrolled Resource Consumption

Draft
Common Consequences
Security Scopes Affected:
Availability Access Control Other
Potential Impacts:
Dos: Crash, Exit, Or Restart Dos: Resource Consumption (Cpu) Dos: Resource Consumption (Memory) Dos: Resource Consumption (Other) Bypass Protection Mechanism Other
Applicable Platforms
Technologies: Not Technology-Specific, AI/ML
View CWE Details
https://cna.erlef.org/cves/CVE-2026-82742.html
https://github.com/ash-project/ash/commit/da07f009e889819ec410fa1f0f12534bfb9e2…
https://github.com/ash-project/ash/security/advisories/GHSA-mgwj-c69v-6f83
https://osv.dev/vulnerability/EEF-CVE-2026-82742