Mittel

LangGraph: Namespace prefix matching crosses segment boundaries in Postgres and SQLite stores

  • Veröffentlicht: 06.08.2026
  • Aktualisiert: 11.10.2026 14:19

Summary

The Postgres and SQLite stores persist hierarchical namespaces as a dot-joined string (("memories", "alice") becomes memories.alice) and scoped reads by matching that string with LIKE '<path>%'. Because LIKE has no notion of the . separator, a scoped search or list_namespaces also matched sibling namespaces whose flattened form shares leading characters.

Applications commonly use the namespace as a tenant boundary. Where they do, a read scoped to one namespace could return items belonging to another, without any crafted input — an ordinary scoped request was sufficient.

We have no evidence of this behavior being exploited in the wild.

Affected users / systems

You may be affected if you:

  • use PostgresStore/AsyncPostgresStore or SqliteStore/AsyncSqliteStore, and
  • rely on the namespace to separate data between users or tenants, and
  • have namespace labels where one is a prefix of another (1 and 12, alice and alice2), or labels containing _ or %

Applications whose namespace labels are fixed-length identifiers such as UUIDs, containing no _ or %, are not affected — no such label can be a prefix of another. InMemoryStore compares namespaces element-wise and is not affected.

Three distinct cases were possible:

  • Sibling namespaces. A read scoped to ("foo",) also returned items under ("foobar",) and ("foo2",).
  • Unescaped pattern metacharacters. _ and % are legal namespace labels — only . is rejected — but were interpolated into the match pattern unescaped, so ("user_1",) also matched ("userX1",).
  • Suffix conditions. list_namespaces(suffix=("alice",)) also matched the sibling leaf users.malice.

This is not SQL injection. Values were passed as bound parameters and never interpolated into statement text; the bound value was itself a LIKE pattern whose metacharacters were not neutralized.

Impact

  • Confidentiality: disclosure of stored items belonging to namespaces outside the caller's intended scope, where namespaces are used as a tenant or user boundary.
  • No integrity or availability impact. get, put, and delete compare namespaces with = and were never affected; the issue is limited to read paths.

Patches / mitigation

Prefix scoping now matches the namespace exactly or requires the . separator before any remainder, pattern metacharacters in labels are escaped, and list_namespaces uses segment-aware matching for both prefix and suffix conditions.

On SQLite, the descendant match moved from LIKE to GLOB. LIKE is case-insensitive for ASCII in SQLite, so scoped reads previously matched namespaces differing only in case, while get/put/delete treated them as distinct. Search now agrees with them.

Upgrade to langgraph-checkpoint-postgres 3.1.1 or langgraph-checkpoint-sqlite 3.1.1.

Compatibility

* in a list_namespaces match path now spans exactly one namespace segment. This restores the documented behavior — NamespacePath documents ("cache", "*", "v1") as "any cache category with v1 version" — and matches InMemoryStore. Multi-segment matching was an artifact of translating * into a SQL % wildcard, the same mechanism responsible for this issue, and could not be preserved while fixing it.

Callers relying on the previous behavior can express "match at any depth" by combining both match conditions, which are ANDed:

python
list_namespaces(prefix=["uid"], suffix=["alice"])

Applications whose namespace labels cannot be prefixes of one another see no behavioral change.

Operational guidance

  • Prefer fixed-length namespace labels such as UUIDs, so no label can be a prefix of another.
  • Where labels are user-supplied, validate them at the boundary rather than relying on scoping alone.

LangSmith / hosted deployments note

Unlike previous store advisories, this issue does reach hosted deployments. LangSmith deployments default to LANGGRAPH_STORE_BACKEND=python, which uses AsyncPostgresStore from checkpoint-postgres. Deployments configured with LANGGRAPH_STORE_BACKEND=grpc use a separate implementation that received an equivalent fix.

Betroffene Software

Klicken Sie auf eine Technologie, um alle zugehörigen Schwachstellen anzuzeigen.

PlattformPaketAnfällige VersionenBehoben in
Python (PyPI) langgraph-checkpoint-postgres < 3.1.1 3.1.1
Python (PyPI) langgraph-checkpoint-sqlite < 3.1.1 3.1.1

Verweise

CVSS-Wert 5.3/10
CVSS-Vektor
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N
Schwäche (CWE)
CWE-200, CWE-863
Plattform
Python (PyPI)
Paket
langgraph-checkpoint-postgres, langgraph-checkpoint-sqlite
Veröffentlicht
06.08.2026
Aktualisiert
11.10.2026 14:19

Quellen und Lizenzen

OSV / GitHub Advisory Database - PYSEC-2026-3635 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-47pj-3jcm-6whg - CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2026-3636 - PyPA Advisory Database; CC BY 4.0

Schwachstellenhistorie: langgraph-checkpoint-sqlite

Alle veröffentlichten Schwachstellen dieses Pakets (Python (PyPI)), neueste zuerst. Zeigt, ob es ein einmaliger Ausrutscher ist oder ein Paket, das man im Auge behalten muss.

Einträge insgesamt
4
Erste → letzte
10.2025 08.2026
Ohne Fix
0
In Angriffen ausgenutzt
0

Verteilung nach Schweregrad

  • Hoch 3
  • Mittel 1

Veröffentlichungen pro Jahr

  1. 2025: 3
  2. 2026: 1
  1. LangGraph: Namespace prefix matching crosses segment boundaries in Postgres and SQLite stores dieser Eintrag
    Mittel · 5.3 CVE-2026-71433 < 3.1.1 3.1.1

Erkennen Sie Schwachstellen in Ihrer Anwendung

Mit der DockRay-Integration und aktivierter Softwareinventarisierung prüft DockRay gemeldete Komponentenversionen auf bekannte Schwachstellen und benachrichtigt Sie über bestätigte Treffer. Die Abdeckung hängt von der unterstützten Technologie und den verfügbaren Meldungen ab.

Anwendung verbinden
DockRay Newsletter

Anwendungssicherheit in Ihrem Postfach

Wichtige Schwachstellen, konkrete Empfehlungen und praktische Tipps für Ihre Anwendungen. Wählen Sie Ihre Technologien und verfolgen Sie, was für Ihr Projekt relevant ist.

  • Eine tägliche Zusammenfassung neuer Schwachstellen, auch kritischer.
  • Benachrichtigungen über wichtige Updates.
  • Praktische Tipps zur Sicherheit und Überwachung von Anwendungen.

Leer lassen, um Meldungen zu allen Technologien zu erhalten.

Kostenlos anmelden. In jeder E-Mail mit einem Klick abmelden.