# Executive Summary A NoSQL injection issue exists in the langgraph-checkpoint-mongodb and langgraph-store-mongodb libraries. MongoDBSaver.list() and MongoDBStore.search() methods accept a filter parameter that is incorporated into MongoDB queries without sufficient validation. Because MongoDB...
Full CISO analysis pending enrichment.
What systems are affected?
How severe is it?
What is the attack surface?
What should I do?
Patch available
Update LangGraph to version 0.3.0
Update LangGraph to version 0.4.0
Which compliance frameworks are affected?
Compliance analysis pending. Sign in for full compliance mapping when available.
Frequently Asked Questions
What is CVE-2026-55253?
# Executive Summary A NoSQL injection issue exists in the langgraph-checkpoint-mongodb and langgraph-store-mongodb libraries. MongoDBSaver.list() and MongoDBStore.search() methods accept a filter parameter that is incorporated into MongoDB queries without sufficient validation. Because MongoDB query operator keys (those prefixed with $) are not rejected during filter construction, a caller with control of the filter input can embed MongoDB query operators directly into the query. --- ## CVSS Details ### CVSS 4.0 | Field | Value | |---|---| | **CVSS Version** | 4.0 | | **Vector String** | `CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:N/SC:H/SI:N/SA:N` | | **Base Score** | **7.1 (High)** | | Metric | Value | Rationale | |---|---|---| | Attack Vector (AV) | Network | Triggerable remotely via API | | Attack Complexity (AC) | Low | No special conditions required | | Attack Requirements (AT) | None | No prerequisite deployment or execution conditions | | Privileges Required (PR) | Low | Authenticated caller of the checkpoint/store API | | User Interaction (UI) | None | No user action required | | Vulnerable System Confidentiality (VC) | None | No direct impact on the vulnerable component itself | | Vulnerable System Integrity (VI) | None | Read-only access | | Vulnerable System Availability (VA) | None | No service disruption | | Subsequent System Confidentiality (SC) | High | Full access to other tenants' checkpoint data | | Subsequent System Integrity (SI) | None | No write or modification capability | | Subsequent System Availability (SA) | None | No service disruption to downstream systems | ### CVSS 3.1 | Field | Value | |---|---| | **CVSS Version** | 3.1 | | **Vector String** | `CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N` | | **Base Score** | **7.7 (High)** | | Metric | Value | Rationale | |---|---|---| | Attack Vector | Network | Triggerable remotely via API | | Attack Complexity | Low | No special conditions required | | Privileges Required | Low | Authenticated caller of the checkpoint/store API | | User Interaction | None | No user action required | | Scope | Changed | Impact crosses tenant boundaries | | Confidentiality | High | Full access to other tenants' checkpoint data | | Integrity | None | Read-only access | | Availability | None | No service disruption | --- ## Affected Packages | Package | Distribution | Affected Methods | Affected Versions | |---|---|---|---| | `langgraph-checkpoint-mongodb` | PyPI | `MongoDBSaver.list()`, `MongoDBSaver.alist()` | < 0.3.0 | | `langgraph-store-mongodb` | PyPI | `MongoDBStore.search()` | < 0.4.0 | --- ## Advisory FAQ ### How do I know if I am affected? You are likely affected if **all** of the following are true: 1. Your application uses `langgraph-checkpoint-mongodb` or `langgraph-store-mongodb`. 2. Your application calls `MongoDBSaver.list()`, `MongoDBSaver.alist()`, or `MongoDBStore.search()` with a `filter` argument. 3. Any part of that `filter` argument is derived from user-controlled input — for example, HTTP query parameters, request body fields, or agent tool arguments. 4. You operate in a multi-tenant context where the `filter` is used to enforce per-user or per-tenant data isolation. If the `filter` argument is constructed entirely from trusted, server-side values, the practical risk is lower, but upgrading is still recommended. ### How do I fix the issue? **Upgrade** to the version of `langgraph-checkpoint-mongodb` and `langgraph-store-mongodb`. If you cannot upgrade immediately, apply the following mitigation: in your application code, before passing any user-controlled input to the `filter` parameter, remove or escape MongoDB Query metacharacters such as “$”. --- ## Acknowledgements Thanks to Kenichi Kawaguchi for responsibly disclosing this issue via the GitHub Security Advisory program on the langchain-mongodb repository. --- ## Revisions | Date | Description | |---|---| | 2026-06-05 | Initial advisory published |
Is CVE-2026-55253 actively exploited?
No confirmed active exploitation of CVE-2026-55253 has been reported, but organizations should still patch proactively.
How to fix CVE-2026-55253?
Update to patched version: LangGraph 0.3.0, LangGraph 0.4.0.
What is the CVSS score for CVE-2026-55253?
CVE-2026-55253 has a CVSS v3.1 base score of 7.7 (HIGH).
What are the technical details?
Original Advisory
# Executive Summary A NoSQL injection issue exists in the langgraph-checkpoint-mongodb and langgraph-store-mongodb libraries. MongoDBSaver.list() and MongoDBStore.search() methods accept a filter parameter that is incorporated into MongoDB queries without sufficient validation. Because MongoDB query operator keys (those prefixed with $) are not rejected during filter construction, a caller with control of the filter input can embed MongoDB query operators directly into the query. --- ## CVSS Details ### CVSS 4.0 | Field | Value | |---|---| | **CVSS Version** | 4.0 | | **Vector String** | `CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:N/SC:H/SI:N/SA:N` | | **Base Score** | **7.1 (High)** | | Metric | Value | Rationale | |---|---|---| | Attack Vector (AV) | Network | Triggerable remotely via API | | Attack Complexity (AC) | Low | No special conditions required | | Attack Requirements (AT) | None | No prerequisite deployment or execution conditions | | Privileges Required (PR) | Low | Authenticated caller of the checkpoint/store API | | User Interaction (UI) | None | No user action required | | Vulnerable System Confidentiality (VC) | None | No direct impact on the vulnerable component itself | | Vulnerable System Integrity (VI) | None | Read-only access | | Vulnerable System Availability (VA) | None | No service disruption | | Subsequent System Confidentiality (SC) | High | Full access to other tenants' checkpoint data | | Subsequent System Integrity (SI) | None | No write or modification capability | | Subsequent System Availability (SA) | None | No service disruption to downstream systems | ### CVSS 3.1 | Field | Value | |---|---| | **CVSS Version** | 3.1 | | **Vector String** | `CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N` | | **Base Score** | **7.7 (High)** | | Metric | Value | Rationale | |---|---|---| | Attack Vector | Network | Triggerable remotely via API | | Attack Complexity | Low | No special conditions required | | Privileges Required | Low | Authenticated caller of the checkpoint/store API | | User Interaction | None | No user action required | | Scope | Changed | Impact crosses tenant boundaries | | Confidentiality | High | Full access to other tenants' checkpoint data | | Integrity | None | Read-only access | | Availability | None | No service disruption | --- ## Affected Packages | Package | Distribution | Affected Methods | Affected Versions | |---|---|---|---| | `langgraph-checkpoint-mongodb` | PyPI | `MongoDBSaver.list()`, `MongoDBSaver.alist()` | < 0.3.0 | | `langgraph-store-mongodb` | PyPI | `MongoDBStore.search()` | < 0.4.0 | --- ## Advisory FAQ ### How do I know if I am affected? You are likely affected if **all** of the following are true: 1. Your application uses `langgraph-checkpoint-mongodb` or `langgraph-store-mongodb`. 2. Your application calls `MongoDBSaver.list()`, `MongoDBSaver.alist()`, or `MongoDBStore.search()` with a `filter` argument. 3. Any part of that `filter` argument is derived from user-controlled input — for example, HTTP query parameters, request body fields, or agent tool arguments. 4. You operate in a multi-tenant context where the `filter` is used to enforce per-user or per-tenant data isolation. If the `filter` argument is constructed entirely from trusted, server-side values, the practical risk is lower, but upgrading is still recommended. ### How do I fix the issue? **Upgrade** to the version of `langgraph-checkpoint-mongodb` and `langgraph-store-mongodb`. If you cannot upgrade immediately, apply the following mitigation: in your application code, before passing any user-controlled input to the `filter` parameter, remove or escape MongoDB Query metacharacters such as “$”. --- ## Acknowledgements Thanks to Kenichi Kawaguchi for responsibly disclosing this issue via the GitHub Security Advisory program on the langchain-mongodb repository. --- ## Revisions | Date | Description | |---|---| | 2026-06-05 | Initial advisory published |
Weaknesses (CWE)
CWE-943 — Improper Neutralization of Special Elements in Data Query Logic: The product generates a query intended to access or manipulate data in a data store such as a database, but it does not neutralize or incorrectly neutralizes special elements that can modify the intended logic of the query.
Source: MITRE CWE corpus.
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N References
- github.com/advisories/GHSA-533j-2v4q-mw5h
- github.com/langchain-ai/langchain-mongodb/releases/tag/libs%2Flanggraph-checkpoint-mongodb%2Fv0.4.0
- github.com/langchain-ai/langchain-mongodb/releases/tag/libs%2Flanggraph-store-mongodb%2Fv0.3.0
- github.com/langchain-ai/langchain-mongodb/security/advisories/GHSA-533j-2v4q-mw5h
Timeline
Related Vulnerabilities
CVE-2025-64104 7.3 langgraph-checkpoint-sqlite: SQL Injection exposes database
Same package: langgraph CVE-2025-8709 7.3 langgraph-checkpoint-sqlite: SQL Injection exposes database
Same package: langgraph CVE-2025-67644 7.3 langgraph-checkpoint-sqlite: SQL Injection exposes database
Same package: langgraph CVE-2026-28277 6.8 langgraph: Deserialization enables RCE
Same package: langgraph CVE-2026-48775 6.8 LangGraph SQLite: deserialization RCE at checkpoint load
Same package: langgraph