- Description: An attacker, without proper authentication, sends crafted HTTP requests to the Chroma API (e.g.,
POST /api/v1/add
,POST /api/v1/update
,POST /api/v1/delete
) to add, modify, or delete embeddings and associated metadata. The attacker might use common API attack techniques like parameter tampering or injection.- Impact: Data integrity compromise, leading to incorrect search results, biased AI model behavior, or complete data loss. Could also lead to data poisoning if the attacker inserts malicious embeddings.
- Affected Chroma Component: Chroma API Server (specifically, the endpoints handling data modification:
/add
,/update
,/delete
, and related functions withinchromadb/api/fastapi.py
andchromadb/server/fastapi/__init__.py
and data validation logic inchromadb/api/models/Collection.py
). - Risk Severity: Critical
- Mitigation Strategies:
- Implement strong authentication for all API endpoints using API keys, JWTs, or mTLS. Enforce authentication before any data processing.
- Implement robust input validation and sanitization on all API parameters to prevent injection attacks. Validate data types, lengths, and formats. Use a schema validation library.
- Implement authorization checks to ensure that authenticated users only have access to the data and operations they are permitted to use. Use a role-based access control (RBAC) system.
- Description: An attacker sends a large number of
POST /api/v1/add
requests with validly formatted but potentially meaningless embeddings, overwhelming Chroma's storage and processing capacity. This could exhaust disk space, memory, or CPU resources.- Impact: Chroma server becomes unresponsive, preventing legitimate users from accessing or using the service. Potential data loss if disk space is completely exhausted.
- Affected Chroma Component: Chroma API Server (
chromadb/api/fastapi.py
), Embedding Storage (chromadb/db/*
- specifically, the chosen database implementation like DuckDB or ClickHouse), and potentially the embedding generation component if it's integrated with Chroma. - Risk Severity: High
- Mitigation Strategies:
- Implement rate limiting on the
/add
endpoint, restricting the number of additions per client/IP address/time window. - Implement resource quotas (disk space, memory) for individual collections or users.
- Monitor resource usage (CPU, memory, disk I/O) and trigger alerts when thresholds are exceeded.
- Use a scalable database backend (e.g., ClickHouse) that can handle large volumes of data.
- Implement rate limiting on the
- Description: An attacker crafts computationally expensive similarity search queries (
POST /api/v1/get
,POST /api/v1/query
) using largen_results
values, high-dimensional embeddings, or inefficient distance metrics. This exploits the computational complexity of nearest neighbor search.- Impact: Chroma server becomes unresponsive due to high CPU and memory usage, impacting all users.
- Affected Chroma Component: Chroma API Server (
chromadb/api/fastapi.py
), Query Engine (chromadb/segment/
and related index implementations like HNSW inchromadb/segment/impl/index/hnswlib.py
), Distance Calculation functions (chromadb/utils/distance_fns.py
). - Risk Severity: High
- Mitigation Strategies:
- Limit the maximum value of
n_results
that can be requested. - Implement query timeouts to terminate long-running queries.
- Provide options for users to select less computationally expensive distance metrics (e.g., cosine similarity instead of Euclidean distance if appropriate).
- Optimize indexing strategies (e.g., using appropriate HNSW parameters) to improve query performance.
- Consider pre-computing and caching results for frequently used queries.
- Limit the maximum value of
Threat: Configuration File Tampering
- Description: An attacker gains access to the Chroma server's file system and modifies the configuration file (e.g.,
chroma_server.yaml
or environment variables), disabling security features, changing persistence settings, or altering logging configurations.- Impact: Weakened security posture, potential data loss, or inability to audit actions. Could lead to other vulnerabilities becoming exploitable.
- Affected Chroma Component: Chroma Server startup and configuration loading logic (
chromadb/config.py
,chromadb/server/*
). - Risk Severity: High
- Mitigation Strategies:
- Store the configuration file in a secure location with restricted access permissions (read-only for most users, write access only for designated administrators).
- Use a configuration management tool (e.g., Ansible, Chef, Puppet) to manage and enforce consistent configurations.
- Implement file integrity monitoring to detect unauthorized changes to the configuration file.
- Use environment variables for sensitive configuration settings (e.g., API keys, database credentials) instead of storing them directly in the configuration file.
- Description: Chroma depends on various third-party libraries. High or critical vulnerabilities in these dependencies could be exploited to compromise Chroma, leading to severe consequences.
- Impact: Varies depending on the specific vulnerability, but high or critical vulnerabilities could lead to remote code execution, complete data compromise, or complete denial of service.
- Affected Chroma Component: Potentially any component that uses the vulnerable dependency.
- Risk Severity: High/Critical (depending on the specific vulnerability)
- Mitigation Strategies:
- Regularly update Chroma and its dependencies to the latest versions.
- Use a software composition analysis (SCA) tool to identify and track known vulnerabilities in dependencies, prioritizing high and critical severity issues.
- Consider using a dependency pinning strategy to control the specific versions of dependencies used.
- Monitor security advisories for the dependencies used by Chroma, focusing on high and critical alerts.