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HIGH severity

CVE-2025-8709 — langgraph-checkpoint-sqli…

HIGHFix: langchain-ai/langgraph#5666

CVE-2025-8709 is a high-severity (CVSS 7.3) SQL Injection vulnerability in langgraph-checkpoint-sqlite. A fix is available for langgraph-checkpoint-sqlite — see the affected versions and patch details below.

LangGraph's SQLite store implementation has a SQL Injection Vulnerability

Also known asPYSEC-2026-1528
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Nov 4, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

Proof-of-concept exploit code exists

  • CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.

Exploitation and automatability from CISA’s SSVC triage for CVE-2025-8709.

EPSS Exploitation Probability

via FIRST.org ↗
0.2%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs13th percentile — riskier than 13% of all scored CVEsHighest risk
0.00%0.24%0.48%0.72%0.0%0.2%May 26Sep 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

1 pkg affected
🐍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

A SQL injection vulnerability exists in the langchain-ai/langgraph repository, specifically in the LangGraph's SQLite store implementation. The affected version is langgraph-checkpoint-sqlite 2.0.10. The vulnerability arises from improper handling of filter operators ($eq, $ne, $gt, $lt, $gte, $lte) where direct string concatenation is used without proper parameterization. This allows attackers to inject arbitrary SQL, leading to unauthorized access to all documents, data exfiltration of sensitive fields such as passwords and API keys, and a complete bypass of application-level security filters.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIlanggraph-checkpoint-sqliteall versions2.0.11pip install --upgrade 'langgraph-checkpoint-sqlite==2.0.11'

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-sqlite, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update langgraph-checkpoint-sqlite to 2.0.11 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2025-8709 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.

Fixing This On Your OS

If you run this on a Linux distribution, patch through your package manager against the distro's own security advisory below — it tracks the exact backported fix for your release, which can ship on a different timeline (and sometimes a different severity) than the upstream project.

Red HatImportant

Red Hat Product Security team has reviewed this issue and determined that it does not impact any of our products. The vulnerable component, LangGraph SQLite Checkpoint (langgraph-checkpoint-sqlite), is not shipped or included in any Red Hat product or offering. Since this package is not part of our supported codebase…

Workaround published by Red Hat
No mitigation is currently available that meets Red Hat Product Security’s standards for usability, deployment, applicability, or stability.
Source: Red Hat security advisory for CVE-2025-8709 (CC BY 4.0)

Frequently Asked Questions

A SQL injection vulnerability exists in the langchain-ai/langgraph repository, specifically in the LangGraph's SQLite store implementation. The affected version is langgraph-checkpoint-sqlite 2.0.10. The vulnerability arises from improper handling of filter operators ($eq, $ne, $gt, $lt, $gte, $lte) where direct string concatenation is used without proper parameterization. This allows attackers to inject arbitrary SQL, leading to unauthorized access to all documents, data exfiltration of sensitive fields such as passwords and API keys, and a complete bypass of application-level security filter
O3 Security · Impact-Aware SCA

Is CVE-2025-8709 in your dependencies?

Find it across PyPI, including transitive dependencies.

CVE-2025-8709: langgraph-checkpoint — Fixed in 2.0.11