CVE-2026-71433 (GCVE-0-2026-71433)
Vulnerability from cvelistv5 – Published: 2026-08-06 19:03 – Updated: 2026-08-07 14:51
VLAI
EPSS
VEX
Title
LangGraph: Namespace prefix matching crosses segment boundaries in Postgres and SQLite stores
Summary
LangGraph Checkpoint Postgres and SQLite Checkpoint are the Postgres and SQLite implementations of LangGraph's checkpoint saver. Prior to 3.1.1, the langgraph-checkpoint-postgres and langgraph-checkpoint-sqlite packages persisted hierarchical namespaces as a dot joined string and scoped reads by matching that string as a simple prefix pattern, so a read scoped to one namespace could also match a sibling namespace whose flattened form shares the same leading characters, or a namespace label containing unescaped pattern metacharacters, allowing an authenticated caller to retrieve stored items belonging to another tenant or user through an ordinary scoped search or list namespaces call, with no crafted input required. This issue is fixed in versions 3.1.1 of langgraph-checkpoint-postgres and langgraph-checkpoint-sqlite.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/langchain-ai/langgraph/securit… | x_refsource_CONFIRM |
| https://github.com/langchain-ai/langgraph/pull/8478 | x_refsource_MISC |
| https://github.com/langchain-ai/langgraph/commit/… | x_refsource_MISC |
| https://github.com/langchain-ai/langgraph/release… | x_refsource_MISC |
| https://github.com/langchain-ai/langgraph/release… | x_refsource_MISC |
Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
| langchain-ai | langgraph |
Affected:
< 3.1.1
|
|
| langchain-ai | langgraph-checkpoint-sqlite |
Affected:
< 3.1.1
|
|
| langchain-ai | langgraph-checkpoint-postgres |
Affected:
< 3.1.1
|
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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