Live › vulnerability › CVE-2026-63489
Yeti, a forensics intelligence platform, builds ArangoDB search queries from user-supplied sort fields and filter paths without sanitizing them. An authenticated low-privileged user can read internal collections such as users, probe the schema, and exhaust database resources.
Summary written from the sources below. Check the originals before acting.
First seen by InfraStack 2026-11-03 20:49 UTC. All times on this page are UTC.
Teams running a self-hosted Yeti version 2.5.0 or earlier where more than fully trusted people hold accounts. Any logged-in user, even non-admin, can send crafted sorting or filter_aliases values to the search API to run database expressions, read internal collections such as users, and cause heavy queries. The advisory says arbitrary writes are not established. Instances on 2.5.1 or later, or with no untrusted accounts, can skip it.
| Product | Ecosystem | Affected | Fixed in |
|---|---|---|---|
| yeti | github | <= 2.5.0 | 2.5.1 |
Upgrade Yeti to 2.5.1 or later (release notes: fix: prevent AQL injection via sorting and filter_aliases parameters, PR #1277).
Each row is the first time that source carried this signal. The analyst’s rows are its own findings.
Yeti bridges the gap between CTI and DFIR practitioners by providing a Forensics Intelligence platform and pipeline. In version 2.5.0 and earlier, YETI directly interpolates user-controlled sorting fields and filter_aliases attribute paths into ArangoDB AQL identifier and expression positions in core/database_arango.py. A low-privileged authenticated user can send crafted values to POST /api/v2/observables/search, POST /api/v2/entities/search, POST /api/v2/indicators/search, POST /api/v2/dfiq/search, POST /api/v2/search/, or POST /api/v2/graph/search, causing attacker-controlled AQL subexpressions to be parsed and evaluated. This can provide an error oracle, evaluate expressions against internal collections such as users, alter intended search logic, enumerate schema information, and consume excessive database resources. The verified injection points are read and search contexts, so arbitrary database writes are not established. No fixed version is available as of this review.
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