Summary
lightrag-hku: Sensitive Information Exposure Through Raw Exception Messages in API Error Responses
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, 13graph_routes.py, 12 (mix ofdetail=f"...{str(e)}"anddetail=error_msg)query_routes.py, 3ollama_api.py, 2lightrag_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 toRequestValidationError for /query/data; it does not cover the genericException 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:
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.)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 raisespassword authentication failed for user "lightrag"(username) or a socket
error naming the unreachable host and port.
Note on credentials: the PostgreSQL backend usesasyncpg, 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 withAsyncMongoClient(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.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.Python library internals. Unexpected exceptions expose class names,
library-internal messages, and stack fragments that fingerprint the server
stack and version.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.
Suggested remediation
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")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"})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 sharedinternal_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)
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.
CVE-2026-85709 has a CVSS score of 5.3 (Medium). The vector is network-reachable, no privileges required, and no user interaction. A CVSS score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether this affects your application depends on whether the vulnerable code is present and reachable in your environment. A fixed version is available (1.5.5); upgrading removes the vulnerable code path.
Affected versions
Security releases
Kodem intelligence
Severity tells you how bad this could be in the worst case. It does not tell you whether you are exposed. Exploitability and impact are functions of runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A vulnerable package can sit in your dependency tree and never run.
Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter. Kodem's runtime-powered SCA identifies whether this CVE is reachable in your applications.
Already deployed Kodem?
See it in your environmentNew to Kodem? Get a demo →Remediation advice
Kodem Kai can prioritize this vulnerability in your dependency tree and generate a fix recommendation.
Frequently Asked Questions
- What is CVE-2026-85709? CVE-2026-85709 is a medium-severity security vulnerability in lightrag-hku (pip), affecting versions <= 1.5.4. It is fixed in 1.5.5.
- How severe is CVE-2026-85709? CVE-2026-85709 has a CVSS score of 5.3 (Medium). This score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether it represents real risk in your environment depends on whether the vulnerable code is present and reachable.
- Which versions of lightrag-hku are affected by CVE-2026-85709? lightrag-hku (pip) versions <= 1.5.4 is affected.
- Is there a fix for CVE-2026-85709? Yes. CVE-2026-85709 is fixed in 1.5.5. Upgrade to this version or later.
- Is CVE-2026-85709 exploitable, and should I be worried? Whether CVE-2026-85709 is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk. Get a demo
- What actually determines whether CVE-2026-85709 is exploitable, and how bad it is? Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.
- How do I fix CVE-2026-85709? Upgrade
lightrag-hkuto 1.5.5 or later.