SQL InjectionWeakness · CWE-89

CVE-2025-8709

HIGH · 7.3 CVSS v3.0 Published 2025-10-26
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
75/100
Remediation priority · High
Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
A SQL injection vulnerability exists in the langchain-ai/langchain 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.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · moderate confidence

SQL injection vulnerability in langgraph-checkpoint-sqlite 2.0.10's LangGraph SQLite store implementation. The filter operators ($eq, $ne, $gt, $lt, $gte, $lte) use direct string concatenation instead of parameterized queries, allowing arbitrary SQL injection.

MitigationUpgrade to a patched version of langgraph-checkpoint-sqlite when available, or refactor the filter operator handling to use parameterized SQL queries instead of string concatenation.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Local
Complexity
Low
Privileges
Low
User interaction
None
Scope
Changed
Confidentiality
High
Integrity
Low
Availability
None

CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Identify installed version of langgraph-checkpoint-sqlite
    Run: pip show langgraph-checkpoint-sqlite or pip list | grep langgraph-checkpoint-sqlite
    Affected if Version is 2.0.10 exactly (no other versions are listed as affected in this CVE)
  2. Confirm SQLite store is in use
    Search codebase for imports of SQLiteStore orlanggraph stores (e.g., from langgraph.checkpoint.sqlite import SQLiteStore) or check runtime dependencies
    Affected if The application imports and uses SQLiteStore from langgraph-checkpoint-sqlite
  3. Check for filter operator usage on SQLite store
    Search code for calls using filter operators: .search(), .alist(), .get() with filter dicts containing $eq, $ne, $gt, $lt, $gte, or $lte keys
    Affected if Filter operators are being passed to SQLite store queries
  4. Inspect source code for string concatenation in filter handling
    Examine langgraph/checkpoint/sqlite.py or equivalent for filter-to-SQL conversion code - look for patterns like f"...{operator}..." or string formatting with operator values without parameter binding
    Affected if Filter operator values are concatenated directly into SQL strings without parameterized query binding

You are affected if langgraph-checkpoint-sqlite version 2.0.10 is installed AND your application uses SQLiteStore with filter operators ($eq, $ne, $gt, $lt, $gte, $lte) that pass user input directly into SQL queries.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

From vendor data
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Upgrade to a patched version of langgraph-checkpoint-sqlite when available, or refactor the filter operator handling to use parameterized SQL queries instead of string concatenation.

Have this fixed Scoped from the published advisory
  • Consultation3.0 h
  • Implementation6.0 h
  • Testing4.0 h
  • Review / QA2.0 h
15.0 hours of engineering $2,640
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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2025-8709 in production — separate from our analysis above.

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What this is

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What belongs here
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  • Version or environment caveats, and links to real fixes
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