CVE-2026-71433: CWE-200: Exposure of Sensitive Information to an Unauthorized Actor in langchain-ai langgraph
CVE-2026-71433 is a medium severity vulnerability in langchain-ai's langgraph product affecting the checkpoint saver implementations for Postgres and SQLite. Prior to version 3.1.1, hierarchical namespaces were stored as dot-joined strings and scoped reads used simple prefix matching. This allowed an authenticated user to access stored items from other tenants or users without needing crafted input, due to overlapping namespace prefixes or unescaped pattern metacharacters. The issue is fixed in langgraph-checkpoint-postgres and langgraph-checkpoint-sqlite version 3.1.1.
AI Analysis
Technical Summary
The vulnerability in langgraph's checkpoint saver for Postgres and SQLite arises from the way hierarchical namespaces are persisted and queried. Namespaces were flattened into dot-joined strings, and read operations scoped by prefix matching could inadvertently match sibling namespaces or those containing unescaped metacharacters. This flaw permitted an authenticated caller to retrieve data belonging to other tenants or users through normal scoped search or list namespaces calls, without requiring any specially crafted input. The flaw is addressed in version 3.1.1 of the affected packages.
Potential Impact
An authenticated user can access sensitive stored data belonging to other tenants or users, violating data confidentiality. There is no impact on integrity or availability. This exposure could lead to unauthorized disclosure of sensitive information across tenant boundaries.
Mitigation Recommendations
A fix is available in langgraph-checkpoint-postgres and langgraph-checkpoint-sqlite version 3.1.1. Users should upgrade to version 3.1.1 or later to remediate this vulnerability. Patch status is not explicitly stated beyond this fix version, so confirm with vendor advisories for deployment guidance.
CVE-2026-71433: CWE-200: Exposure of Sensitive Information to an Unauthorized Actor in langchain-ai langgraph
Description
CVE-2026-71433 is a medium severity vulnerability in langchain-ai's langgraph product affecting the checkpoint saver implementations for Postgres and SQLite. Prior to version 3.1.1, hierarchical namespaces were stored as dot-joined strings and scoped reads used simple prefix matching. This allowed an authenticated user to access stored items from other tenants or users without needing crafted input, due to overlapping namespace prefixes or unescaped pattern metacharacters. The issue is fixed in langgraph-checkpoint-postgres and langgraph-checkpoint-sqlite version 3.1.1.
CVSS v3.1
Score 5.3medium
Affected software
pkg:github/langchain-ai/langgraph-checkpoint-postgrespkg:github/langchain-ai/langgraph-checkpoint-sqliteRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability in langgraph's checkpoint saver for Postgres and SQLite arises from the way hierarchical namespaces are persisted and queried. Namespaces were flattened into dot-joined strings, and read operations scoped by prefix matching could inadvertently match sibling namespaces or those containing unescaped metacharacters. This flaw permitted an authenticated caller to retrieve data belonging to other tenants or users through normal scoped search or list namespaces calls, without requiring any specially crafted input. The flaw is addressed in version 3.1.1 of the affected packages.
Potential Impact
An authenticated user can access sensitive stored data belonging to other tenants or users, violating data confidentiality. There is no impact on integrity or availability. This exposure could lead to unauthorized disclosure of sensitive information across tenant boundaries.
Mitigation Recommendations
A fix is available in langgraph-checkpoint-postgres and langgraph-checkpoint-sqlite version 3.1.1. Users should upgrade to version 3.1.1 or later to remediate this vulnerability. Patch status is not explicitly stated beyond this fix version, so confirm with vendor advisories for deployment guidance.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-08-06T16:28:51.182Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a75070dbf8831d5395f5c83
Added to database: 08/06/2026, 22:13:33 UTC
Last enriched: 08/06/2026, 22:28:50 UTC
Last updated: 08/06/2026, 23:57:03 UTC
Views: 3
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.