Langflow: Path Traversal in Knowledge Bases API via Creation Endpoint
Summary
Langflow is vulnerable to Path Traversal in the Knowledge Bases API (POST /api/v1/knowledge_bases). This occurs because user-supplied knowledge base names are used directly to create file paths without proper sanitization or containment checks. An authenticated attacker can exploit this flaw to create directories and write files anywhere on the server's filesystem.
Details
The vulnerability exists in the create_knowledge_base function within src/backend/base/langflow/api/v1/knowledge_bases.py.
This function constructs file paths directly from the user-supplied name field without sanitization. The value is concatenated with the user's base directory and passed directly to kb_path.mkdir(). Immediately following the directory creation, the application writes embedding_metadata.json and schema.json into this attacker-controlled path.
PoC (Proof of Concept)
For the Create endpoint, an attacker can supply traversal sequences or absolute paths in the name field:
../victim_user/evil_kb
or
/tmp/pwned
This forces kb_path.mkdir() to create directories and write specific application files (embedding_metadata.json and schema.json) at any reachable path on the server.
Impact
Any Langflow instance exposing this endpoint to authenticated users is vulnerable. This exposes the server to:
- Cross-user data compromise: Creation of...
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| langflow PyPI | < 1.9.0 | 1.9.0 |
Details and references
## Summary Langflow is vulnerable to Path Traversal in the Knowledge Bases API (`POST /api/v1/knowledge_bases`). This occurs because user-supplied knowledge base names are used directly to create file paths without proper sanitization or containment checks. An authenticated attacker can exploit this flaw to create directories and write files anywhere on the server's filesystem. ## Details The vulnerability exists in the `create_knowledge_base` function within `src/backend/base/langflow/api/v1/knowledge_bases.py`. This function constructs file paths directly from the user-supplied `name` field without sanitization. The value is concatenated with the user's base directory and passed directly to `kb_path.mkdir()`. Immediately following the directory creation, the application writes `embedding_metadata.json` and `schema.json` into this attacker-controlled path. ## PoC (Proof of Concept) For the **Create** endpoint, an attacker can supply traversal sequences or absolute paths in the `name` field: `../victim_user/evil_kb` or `/tmp/pwned` This forces `kb_path.mkdir()` to create directories and write specific application files (`embedding_metadata.json` and `schema.json`) at any reachable path on the server. ## Impact Any Langflow instance exposing this endpoint to authenticated users is vulnerable. This exposes the server to: * **Cross-user data compromise:** Creation of directories and files within another tenant's knowledge base space. * **Arbitrary filesystem manipulation:** Directory creation at any path on the server where the application has write permissions (e.g., `/app/data`). * **Data overwrite:** Overwriting existing `embedding_metadata.json` and `schema.json` files in attacker-targeted paths, potentially corrupting existing knowledge bases. ## Fixes The issue was addressed in **PR #12337**. The fix introduces the `_validate_kb_path_containment()` helper function, which uses `Path.is_relative_to()` instead of `startswith()` to enforce strict path boundaries and prevent prefix-ambiguity bugs. This helper is applied before any filesystem operations. Regression tests were added to verify that traversal payloads return a `403 Forbidden`. ## Acknowledgements Thanks to the security researchers who responsibly disclosed this vulnerability: * @ddlxstudio * @nekros1xx
- CVSS 3.1
- CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-22
- Also known as
- CVE-2026-42867, PYSEC-2026-2566
- github.com/langflow-ai/langflow/security/advisories/GHSA-79ph-745m-6wxq
- nvd.nist.gov/vuln/detail/CVE-2026-42867
- github.com/langflow-ai/langflow/pull/12337
- github.com/advisories/GHSA-79ph-745m-6wxq
- github.com/langflow-ai/langflow
- github.com/pypa/advisory-database/tree/main/vulns/langflow/PYSEC-2026-2566.yaml
- pypi.org/project/langflow