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CVE-2026-71433 — langgraph-checkpoint-post…

MEDIUMFix: langchain-ai/langgraph@66ebe1a

CVE-2026-71433 is a medium-severity (CVSS 5.3) Information Exposure vulnerability in langgraph-checkpoint-postgres. A fix is available for langgraph-checkpoint-postgres — see the affected versions and patch details below.

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

Also known asGHSA-47pj-3jcm-6whgPYSEC-2026-3635PYSEC-2026-3636
Published
Updated
Affected
2 pkgs
Patched
2 / 2
Exploits
None indexed
Exploitation data as of Nov 4, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for CVE-2026-71433.

EPSS Exploitation Probability

via FIRST.org ↗
0.4%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs30th percentile — riskier than 30% of all scored CVEsHighest risk
0.00%0.29%0.58%0.86%0.2%0.4%0.4%0.4%Sep 26Nov 26Nov 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

Where this sits among everything scored

Real-World Exposure

2 pkgs affected
🐍langgraph-checkpoint-postgres🐍langgraph-checkpoint-sqlite

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

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:

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.

Affected Packages

2 total 2 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIlanggraph-checkpoint-postgresall versions3.1.1pip install --upgrade 'langgraph-checkpoint-postgres==3.1.1'
🐍PyPIlanggraph-checkpoint-sqliteall versions3.1.1pip install --upgrade 'langgraph-checkpoint-sqlite==3.1.1'

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for langgraph-checkpoint-postgres, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update langgraph-checkpoint-postgres to 3.1.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-71433 is resolved across your whole dependency graph.

  3. Workarounds

    Until you can upgrade, make sure every query built from user input uses parameterised statements or a prepared-statement API rather than string concatenation, and reduce the database account's privileges so an injected query cannot read or alter data beyond what the feature needs.

Frequently Asked Questions

## 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 sufficie
O3 Security · Impact-Aware SCA

Is CVE-2026-71433 in your dependencies?

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CVE-2026-71433: langgraph-checkpoint — Fixed in 3.1.1