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lightrag-hku: Sensitive Information Exposure Through Raw Exception Messages in API Error ResponsesGHSA-hrmj-7rvj-4hg8

MEDIUMFix: HKUDS/LightRAG#3422

GHSA-hrmj-7rvj-4hg8 is a medium-severity (CVSS 5.3) CWE-209 vulnerability in lightrag-hku. A fix is available for lightrag-hku — see the affected versions and patch details below.

Also known asCVE-2026-85709PYSEC-2026-4063
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Oct 23, 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.
  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.

Exploitation and automatability from CISA’s SSVC triage for GHSA-hrmj-7rvj-4hg8.

EPSS Exploitation Probability

via FIRST.org ↗
0.4%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs32th percentile — riskier than 32% of all scored CVEsHighest risk
0.00%0.30%0.59%0.89%0.4%0.4%Oct 26Oct 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

GHSA-hrmj-7rvj-4hg8 by exploitation likelihood (EPSS) against impact (CVSS). Outside the shaded patch-first corner.

Where this sits among everything scored

Of 394,803 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Counts from FIRST.org, log-scaled.

Real-World Exposure

1 pkg affected
🐍lightrag-hku

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

Summary

The LightRAG API server passes raw Python exception messages directly into HTTP error responses across 30+ error handlers in every router. When combined with the default unauthenticated configuration (see companion report on CWE-306), any network-reachable client can trigger exceptions whose raw text discloses internal infrastructure — server filesystem paths, database host/port/user, LLM provider error details, and Python library internals. No global exception handler sanitizes error messages before they reach the client.

Details

Throughout the API route handlers, exceptions are caught and their string representation is returned verbatim via detail=str(e) / detail=str(exc) (and f-string variants such as detail=f"...: {str(e)}"). This occurs in every router file. Location breakdown on the current main branch:

HTTP 500 — raw exception passthrough (except Exception as e):

  • document_routes.py — 13
  • graph_routes.py — 12 (mix of detail=f"...{str(e)}" and detail=error_msg)
  • query_routes.py — 3
  • ollama_api.py — 2
  • lightrag_server.py — 1 (health endpoint)

HTTP 422 — raw exception passthrough (except ValueError as exc):

  • document_routes.py — 2 (chunking-config validation)

Total: ~33 raw-exception-to-HTTP-response locations. The only pre-existing custom exception handler in lightrag_server.py is specific to RequestValidationError for /query/data; it does not cover the generic Exception handlers in route code.

Example pattern (document_routes.py, upload handler):

except Exception as e:
    logger.error(f"Error /documents/upload: {file.filename}: {str(e)}")
    raise HTTPException(status_code=500, detail=str(e))

Categories of sensitive information that can leak through these responses:

  1. Server filesystem paths. File-I/O errors from the default JSON storage backend expose the server's directory layout (e.g. [Errno 13] Permission denied: '/app/data/rag_storage/default/kv_store_full_docs.json'), aiding path-traversal or targeted attacks. (Verified — see PoC Step 1.)

  2. Database host / port / user / database name. Connection errors from the PostgreSQL, MongoDB, Redis, or Neo4j backends surface the target the driver was trying to reach — e.g. asyncpg raises password authentication failed for user "lightrag" (username) or a socket error naming the unreachable host and port. Note on credentials: the PostgreSQL backend uses asyncpg, which is built from keyword parameters and does not echo the password in its exception strings — so a raw asyncpg error leaks host/port/user/db, not the password. URI-configured backends behave differently: the MongoDB backend is built with AsyncMongoClient(MONGO_URI, ...), and a malformed-URI / configuration error from pymongo can surface the connection string itself, which may embed credentials (mongodb://user:password@host:port/). The leak surface is therefore backend- and error-type-dependent.

  3. LLM provider error details. Errors from OpenAI / Gemini / Bedrock and other providers may include model names, organization ids, or partial API error context that reveal the deployment.

  4. Python library internals. Unexpected exceptions expose class names, library-internal messages, and stack fragments that fingerprint the server stack and version.

  5. Configuration details. Errors during configuration/parsing may reveal storage backend types and other configuration values.

The risk is amplified by the default unauthenticated configuration (CWE-306, companion report), which lets any network client trigger and read these errors without credentials.

PoC

Tested on a clean checkout with the [api] extras installed and the server run via lightrag-server.

Step 1 — Filesystem path disclosure (default JSON storage)

With the default storage backend, a file-permission error is returned verbatim:

# Make a storage file unreadable to force an I/O error.
chmod 000 ./rag_storage/default/kv_store_full_docs.json
curl -s http://localhost:9621/documents | python3 -m json.tool

Vulnerable response — the full server-side path is disclosed:

{
    "detail": "[Errno 13] Permission denied: '/app/data/rag_storage/default/kv_store_full_docs.json'"
}

Step 2 — Database infrastructure disclosure (PostgreSQL backend)

Configure a PostgreSQL KV backend pointed at an unreachable / misconfigured host:

LIGHTRAG_KV_STORAGE=PGKVStorage
POSTGRES_HOST=nonexistent-host-12345.example.com
POSTGRES_PORT=5432
POSTGRES_USER=lightrag
POSTGRES_DATABASE=lightrag

A request that touches storage returns the raw connection error, disclosing the host / port / user the server is configured to reach (the asyncpg password is not echoed — see the credentials note above):

{
    "detail": "[Errno -2] Name or service not known"
}

For a URI-configured backend such as MongoDB (MONGO_URI=mongodb://user:pass@host:port/db), a malformed-URI / configuration error can instead surface the connection string itself, including any embedded credentials.

Impact

Error-message information exposure. A client able to reach the LightRAG server can extract:

  • Confidentiality (C:L): server filesystem paths, database host/port/user/db, LLM provider configuration hints, and Python stack internals from raw exception messages; for URI-configured backends, potentially the connection string (with embedded credentials).
  • Escalation risk: leaked hosts/paths aid follow-on attacks; a leaked connection URI could enable direct database access if the database is network-reachable.

When combined with the default unauthenticated configuration, any network client can trigger and read these responses without authentication, which is why this is scored PR:N.

Suggested remediation

  1. Replace every detail=str(e) / detail=str(exc) pattern with a generic client message. Log the full exception server-side (message + traceback) and return only a generic message plus a correlation id:

    except Exception as e:
        logger.error(f"Error /documents/upload: {file.filename}: {e!r}")
        raise HTTPException(status_code=500, detail="Internal server error")
    
  2. Register a last-resort global handler as defense-in-depth so any exception that escapes a route is sanitized identically:

    @app.exception_handler(Exception)
    async def unhandled_exception_handler(request, exc):
        logger.error(f"Unhandled exception: {exc!r}", exc_info=True)
        return JSONResponse(status_code=500, content={"detail": "Internal server error"})
    
  3. Preserve genuine client-input validation feedback. The two HTTP 422 chunking-config validators emit controlled, non-sensitive messages; keep them as 422 feedback rather than genericizing to 500 — but wrap the raw exception so it is never a bare passthrough.

Fix status: implemented in HKUDS/LightRAG#3422 — a shared internal_server_error() helper routes all 500 handlers through a generic body carrying a correlation id (full detail logged server-side), a global @app.exception_handler(Exception) is registered in create_app, and the two 422 validators are wrapped.

Credits

  • Thai Son Dinh from VinSOC Labs (R&D)
  • Nguyen Huy Vu Dung from VinSOC Labs (AppSec)

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIlightrag-hkuall versions1.5.5pip install --upgrade 'lightrag-hku==1.5.5'

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for lightrag-hku, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update lightrag-hku to 1.5.5 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-hrmj-7rvj-4hg8 is resolved across your whole dependency graph.

  3. Workarounds

    Put an independent control in front of the weakness: restrict the affected endpoint or interface to trusted networks, require an additional authentication factor or proxy-level check, and invalidate existing sessions and credentials in case the flaw has already been used.

Frequently Asked Questions

### Summary The LightRAG API server passes raw Python exception messages directly into HTTP error responses across 30+ error handlers in every router. When combined with the default unauthenticated configuration (see companion report on CWE-306), any network-reachable client can trigger exceptions whose raw text discloses internal infrastructure — server filesystem paths, database host/port/user, LLM provider error details, and Python library internals. No global exception handler sanitizes error messages before they reach the client. ### Details Throughout the API route handlers, exception
O3 Security · Impact-Aware SCA

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