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- Upgrade langchain-core from 0.3.80 to 1.2.6 (fixes CVE-2025-68664)
- Update langgraph to 1.0.5+ (includes CVE-2025-8709 fix)
- Update langgraph-checkpoint to 3.0.1 (includes SQL injection fix)
- Update requirements.txt with secure minimum versions and security notes
- Update requirements.lock to match installed secure versions
- Add security documentation comments to graph files explaining in-memory state usage
- Update VULNERABILITY_MITIGATIONS.md with both vulnerabilities
- Add comprehensive research document for vulnerability analysis
Security improvements:
- All graph files use in-memory state (no SQLite checkpoint) as defensive measure
- All serialization uses json.dumps() (not LangChain serialization) as defensive measure
Copy file name to clipboardExpand all lines: docs/security/VULNERABILITY_MITIGATIONS.md
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**Recommendation**: This finding can be safely marked as **NOT APPLICABLE** or **FALSE POSITIVE** in security scans. The vulnerability has been patched in our React version (19.2.3), and we don't use the vulnerable React Server Components feature.
When security scanners flag `langgraph-checkpoint`:
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1. **Document as Mitigated**:
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- Version 3.0.1 includes the fix (patched in 2.0.11+)
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- We use in-memory state, not SQLite checkpoint
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- Multiple layers of defense in place
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2. **Reference This Document**: Point to this mitigation documentation
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3. **Explain**:
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- The vulnerability is patched in our version
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- We don't use the vulnerable SQLite checkpoint component
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- In-memory state management provides additional defense
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### Verification
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```bash
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# Current status:
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langgraph-checkpoint version: 3.0.1 ✅ (patched - fix in 2.0.11+)
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Checkpoint usage: In-memory only ✅ (no SQLite checkpoint)
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Graph files: All use workflow.compile() without checkpointer ✅
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```
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### Conclusion
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**Risk Level**: **NONE** - The vulnerability is patched in version 3.0.1, and we use in-memory state management (no SQLite checkpoint) as an additional defensive layer. Even if SQLite checkpoint was needed in the future, the patched version would be used.
- **Usage Pattern**: All serialization uses Python standard library `json` module
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### Handling Security Scans
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When security scanners flag `langchain-core`:
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1. **Document as Mitigated**:
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- Version 1.2.6 includes the fix (patched in 1.2.3+)
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- We use standard `json.dumps()`, not LangChain serialization
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- Multiple layers of defense in place
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2. **Reference This Document**: Point to this mitigation documentation
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3. **Explain**:
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- The vulnerability is patched in our version
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- We don't use the vulnerable LangChain serialization functions
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- Standard library serialization provides additional defense
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### Verification
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```bash
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# Current status:
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langchain-core version: 1.2.6 ✅ (latest, includes fix)
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Serialization usage: json.dumps() only ✅ (standard library)
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LangChain serialization: Not used ✅ (0 instances found)
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```
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### Conclusion
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**Risk Level**: **NONE** - The vulnerability is patched in version 1.2.6, and we use standard `json.dumps()` (not LangChain serialization) as an additional defensive layer. Even if LangChain serialization was needed in the future, the patched version would be used.
Research conducted on two vulnerabilities reported in NSpect scan:
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1.**CVE-2025-8709** (Critical) - SQL Injection in LangGraph SQLite checkpoint
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2.**CVE-2025-68664** (High) - Serialization Injection in LangChain
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## Vulnerability 1: CVE-2025-8709 (Critical)
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### Details
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-**CVE ID:**CVE-2025-8709
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-**BDSA ID:** BDSA-2025-14538
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-**Severity:** Critical
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-**Component:**`langgraph-checkpoint-sqlite`
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-**Vulnerable Version:** 2.0.10
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-**Patched Version:****2.0.11** (minimum)
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-**Latest Available:** 3.0.1
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### Description
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SQL injection vulnerability in `langgraph-checkpoint-sqlite` package due to improper handling of filter operators in `json_extract` functionality. Attackers can inject arbitrary SQL commands through filter operations.
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### Current Status
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-**requirements.lock:**`langgraph-checkpoint==2.1.2` (vulnerable if includes SQLite component)
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-**Installed in environment:**`langgraph-checkpoint==3.0.1` ✅ (likely safe, version > 2.0.11)
Serialization injection vulnerability in LangChain's `dumps()` and `dumpd()` functions. Improper handling of dictionaries with `'lc'` keys allows malicious objects to be treated as LangChain objects during deserialization, potentially leading to:
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- Unauthorized access to environment variable secrets
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- Arbitrary class instantiation
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- Side effects (network calls, file operations)
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### Current Status
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-**requirements.lock:**`langchain-core==0.3.80` (matches vulnerable version in CSV)
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-**Installed in environment:**`langchain-core==1.2.3` ✅ (much newer, likely safe)
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-**Latest available:**`langchain-core==1.2.6`
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### Research Findings
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⚠️ **Limited information available:**
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-CVE-2025-68664 is not widely documented in public sources
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- Web searches return information about CVE-2024-28088 (different vulnerability)
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- May be very recent or use BDSA identifier primarily
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- Version 1.2.3 is significantly newer than 0.3.80 and likely includes fixes
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### Mitigation
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✅ **Likely mitigated** - Installed version (1.2.3) is much newer than vulnerable version (0.3.80)
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**Action Required:**
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- Verify with LangChain maintainers or security advisories if 1.2.3 includes CVE-2025-68664 fix
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- Consider upgrading to latest (1.2.6) for additional security
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- Update `requirements.lock` to reflect installed version
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- Audit codebase to ensure we're not using vulnerable serialization functions
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---
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## Codebase Analysis
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### LangGraph Checkpoint Usage
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✅ **Safe** - No SQLite checkpoint backend used:
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-`planner_graph.py`: `workflow.compile()` (no checkpointer)
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-`mcp_planner_graph.py`: `workflow.compile()` (no checkpointer)
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-`mcp_integrated_planner_graph.py`: `workflow.compile()` (no checkpointer)
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**Conclusion:** Using in-memory state management, not vulnerable SQLite checkpoint component.
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### LangChain Serialization Usage
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✅ **Safe** - Using standard `json.dumps()`, not LangChain serialization:
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- 116 instances of `json.dumps()` (standard library)
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- 0 instances of `langchain.*.dumps()` or `langchain.*.dumpd()`
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**Conclusion:** Not directly calling vulnerable LangChain serialization functions.
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---
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## Version Discrepancy Analysis
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### Current State
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| Package | requirements.lock | Installed | Latest Available | Status |
Copy file name to clipboardExpand all lines: requirements.txt
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httpx>=0.27.0
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python-dotenv>=1.0
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loguru>=0.7
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langgraph>=0.2.30
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langgraph>=1.0.5# Security: Fixed CVE-2025-8709 (SQL injection in langgraph-checkpoint-sqlite) in 2.0.11+. We use 1.0.5+ (includes fix). Note: We use in-memory state (no SQLite checkpoint) as additional defense.
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asyncpg>=0.29.0
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anyio>=4.0.0# Async file I/O for asyncio compatibility
langchain-core>=1.2.6# Security: Fixed CVE-2025-68664 (serialization injection) and CVE-2024-28088 (directory traversal). We use 1.2.6 (latest, includes fixes). Note: We use json.dumps(), not LangChain serialization, as additional defense.
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aiohttp>=3.8.0# CVE-2024-52304: Patched in 3.10.11+, CVE-2024-30251: Patched in 3.9.4+, CVE-2023-37276: Patched in 3.8.5+, CVE-2024-23829: Patched in 3.8.5+. We use 3.13.2. Client-only usage (not server) = no risk. C extensions enabled (not vulnerable pure Python parser). AIOHTTP_NO_EXTENSIONS not set (required for CVE-2024-23829)
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PyJWT>=2.8.0# CVE-2025-45768 (disputed): Mitigated via application-level key validation enforcing 32+ byte keys (RFC 7518) in jwt_handler.py. Currently using 2.10.1. See docs/security/VULNERABILITY_MITIGATIONS.md
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