Mitigation Strategy: Utilize Parameterized Queries and Query DSL
- Mitigation Strategy: Parameterized Queries and Query DSL
- Description:
- Identify all locations in the codebase where Elasticsearch queries are constructed using
elasticsearch-net
. Focus on usages ofElasticClient.Search
,ElasticClient.Get
,ElasticClient.Index
,ElasticClient.Update
,ElasticClient.Delete
and similar methods. - Review each query construction to ensure user input is not directly concatenated into query strings or raw JSON query bodies.
- Refactor queries to exclusively use Elasticsearch-net's Query DSL (Domain Specific Language). Leverage the fluent API provided by
elasticsearch-net
to build queries programmatically, ensuring input is treated as data parameters. - If Query DSL is insufficient for complex scripting, explore if
elasticsearch-net
supports parameterized queries for the specific Elasticsearch operation. If direct string manipulation is unavoidable, check if the operation allows for parameterized inputs to separate code from data withinelasticsearch-net
. - Test refactored queries using
elasticsearch-net
thoroughly. Ensure application functionality remains correct and queries are correctly parameterized through the library.
- Identify all locations in the codebase where Elasticsearch queries are constructed using
- Threats Mitigated:
- Elasticsearch Injection (High Severity): Malicious users can inject arbitrary Elasticsearch queries by manipulating input fields, potentially leading to data breaches, data manipulation, or denial of service.
- Impact: Significantly reduces the risk of Elasticsearch Injection attacks by ensuring user input is handled as data parameters within
elasticsearch-net
queries. - Currently Implemented: Partially implemented in [Project Name]. Query DSL is used in [Specific Module/Component] for basic searches using
elasticsearch-net
. - Missing Implementation: Missing in [Specific Module/Component] where raw string queries are still used with
elasticsearch-net
for complex aggregations and in [Another Module/Component] where user input is directly embedded in script queries constructed viaelasticsearch-net
.
Mitigation Strategy: Enforce HTTPS for Elasticsearch Connections
- Mitigation Strategy: Enforce HTTPS for Elasticsearch Connections
- Description:
- Configure the
elasticsearch-net
client to exclusively use HTTPS endpoints for connecting to the Elasticsearch cluster. When initializingElasticClient
, ensure theUri
orNodePool
configuration specifieshttps://
for all Elasticsearch node URLs. - Verify the HTTPS connection is established by inspecting
elasticsearch-net
client logs or network traffic. Confirm that communication initiated byelasticsearch-net
is encrypted using HTTPS. - Review
elasticsearch-net
client configuration to ensure no accidental fallback to HTTP is possible. Double-check connection settings to prevent insecure connections.
- Configure the
- Threats Mitigated:
- Man-in-the-Middle Attacks (High Severity): Prevents attackers from intercepting and eavesdropping on communication between the application (using
elasticsearch-net
) and Elasticsearch, protecting sensitive data in transit. - Data Eavesdropping (High Severity): Encrypts data transmitted over the network by
elasticsearch-net
, making it unreadable to unauthorized parties even if intercepted.
- Man-in-the-Middle Attacks (High Severity): Prevents attackers from intercepting and eavesdropping on communication between the application (using
- Impact: Significantly reduces the risk of Man-in-the-Middle attacks and data eavesdropping for communication handled by
elasticsearch-net
. Essential for protecting data transmitted via the library. - Currently Implemented: Implemented in [Project Name].
elasticsearch-net
client is configured to use HTTPS endpoints. - Missing Implementation: N/A - Currently fully implemented in
elasticsearch-net
client configuration.
Mitigation Strategy: Implement Authentication and Authorization within elasticsearch-net
- Mitigation Strategy: Implement Authentication and Authorization within
elasticsearch-net
- Description:
- Choose an appropriate authentication mechanism supported by Elasticsearch and
elasticsearch-net
(e.g., Basic Authentication, API Keys). - Configure the
elasticsearch-net
client to provide authentication credentials using the chosen mechanism. Utilize theConnectionSettings
options inelasticsearch-net
such asBasicAuthentication
orApiKeyAuthentication
to supply credentials. - Verify authentication is correctly configured by monitoring
elasticsearch-net
client logs for successful authentication attempts. Ensure the library is properly authenticating with Elasticsearch. - Ensure the Elasticsearch user or API key used by
elasticsearch-net
has appropriate authorization roles and permissions configured in Elasticsearch. This is configured on the Elasticsearch side, but crucial for the security context ofelasticsearch-net
operations.
- Choose an appropriate authentication mechanism supported by Elasticsearch and
- Threats Mitigated:
- Unauthorized Access (High Severity): Prevents unauthorized applications or users from accessing Elasticsearch data and operations through
elasticsearch-net
. - Data Breaches (High Severity): Reduces the risk of data breaches by ensuring only authenticated entities using
elasticsearch-net
can interact with sensitive data.
- Unauthorized Access (High Severity): Prevents unauthorized applications or users from accessing Elasticsearch data and operations through
- Impact: Significantly reduces the risk of unauthorized access and data breaches when interacting with Elasticsearch via
elasticsearch-net
. Fundamental security control for library usage. - Currently Implemented: Implemented in [Project Name]. API Keys are used for authentication between the application and Elasticsearch via
elasticsearch-net
. - Missing Implementation: N/A - Authentication using API Keys via
elasticsearch-net
is implemented. Further granular authorization roles need to be refined on the Elasticsearch side, butelasticsearch-net
authentication is in place.
Mitigation Strategy: Implement Custom Error Handling in Application Around elasticsearch-net
Calls
- Mitigation Strategy: Implement Custom Error Handling in Application Around
elasticsearch-net
Calls - Description:
- Identify all points in the application where
elasticsearch-net
methods are invoked. - Implement try-catch blocks specifically around all
elasticsearch-net
method calls. Wrap each Elasticsearch operation performed byelasticsearch-net
within atry-catch
block to handle potential exceptions raised by the library. - Within the
catch
block, log detailed error information securely on the server-side. Log exception details, request context, and relevant information for debugging and monitoring purposes whenelasticsearch-net
operations fail. - Return generic, user-friendly error messages to the client when
elasticsearch-net
operations fail. Avoid exposing technical details or stack traces fromelasticsearch-net
to end-users.
- Identify all points in the application where
- Threats Mitigated:
- Information Disclosure (Medium Severity): Prevents exposure of sensitive technical details from
elasticsearch-net
errors in error messages to end-users. - Denial of Service (Low Severity): Improves application resilience by gracefully handling errors from
elasticsearch-net
and preventing application crashes due to unexpected exceptions from the library.
- Information Disclosure (Medium Severity): Prevents exposure of sensitive technical details from
- Impact: Moderately reduces information disclosure and minimally reduces DoS risks related to error handling around
elasticsearch-net
usage. Enhances application stability when interacting with Elasticsearch via the library. - Currently Implemented: Partially implemented in [Project Name]. Basic error handling is in place for some
elasticsearch-net
operations, but not consistently applied across the entire application. - Missing Implementation: Comprehensive error handling with secure logging and user-friendly error messages needs to be implemented for all
elasticsearch-net
interactions, especially in critical application flows.
Mitigation Strategy: Regularly Update elasticsearch-net
Library
- Mitigation Strategy: Regularly Update
elasticsearch-net
Library - Description:
- Monitor the
elasticsearch-net
GitHub repository and NuGet package manager for new releases and security advisories specifically forelasticsearch-net
. Stay informed about updates and security patches for the library itself. - Establish a process for regularly updating dependencies, specifically including
elasticsearch-net
. Incorporateelasticsearch-net
updates into the development cycle (e.g., during sprint planning or maintenance windows). - Test application compatibility after updating
elasticsearch-net
. Thoroughly test the application after updating the library to ensure no regressions or compatibility issues are introduced inelasticsearch-net
integration. - Prioritize security updates for
elasticsearch-net
. Apply security patches and updates for the library promptly to address known vulnerabilities withinelasticsearch-net
.
- Monitor the
- Threats Mitigated:
- Exploitation of Known Vulnerabilities in
elasticsearch-net
(High Severity): Reduces the risk of attackers exploiting known vulnerabilities present in outdated versions of theelasticsearch-net
library itself.
- Exploitation of Known Vulnerabilities in
- Impact: Significantly reduces the risk of exploiting known vulnerabilities within the
elasticsearch-net
library. Essential for maintaining a secure and up-to-date application using the library. - Currently Implemented: Partially implemented in [Project Name]. Dependency updates, including
elasticsearch-net
, are performed periodically, but not on a strict schedule and security updates forelasticsearch-net
might not be prioritized. - Missing Implementation: A formal process for regularly monitoring and updating
elasticsearch-net
dependencies, especially for security patches, is missing.elasticsearch-net
update process needs to be formalized and integrated into the development workflow.
Mitigation Strategy: Implement Query Timeouts in elasticsearch-net
- Mitigation Strategy: Implement Query Timeouts in
elasticsearch-net
- Description:
- Determine appropriate timeout values for Elasticsearch queries executed via
elasticsearch-net
based on application requirements and expected query execution times. Analyze typical query performance initiated byelasticsearch-net
and set timeouts that are generous enough for legitimate queries but prevent excessively long-running requests. - Configure query timeouts in the
elasticsearch-net
client settings. Use theRequestTimeout
property inConnectionSettings
when initializingElasticClient
or specify timeouts on individual requests usingRequestConfiguration
withinelasticsearch-net
calls. - Test timeout configurations to ensure they are effective for
elasticsearch-net
queries and do not disrupt legitimate application functionality. Verify that timeouts are triggered for long-running queries initiated byelasticsearch-net
and that the application handles timeouts gracefully. - Monitor query timeouts related to
elasticsearch-net
and adjust timeout values as needed. Track timeout occurrences and adjust timeout settings based on performance monitoring ofelasticsearch-net
queries and changing application requirements.
- Determine appropriate timeout values for Elasticsearch queries executed via
- Threats Mitigated:
- Denial of Service (Medium Severity): Prevents malicious or poorly constructed queries initiated through
elasticsearch-net
from consuming excessive resources and causing a DoS by limiting query execution time.
- Denial of Service (Medium Severity): Prevents malicious or poorly constructed queries initiated through
- Impact: Moderately reduces the risk of Denial of Service attacks originating from queries executed via
elasticsearch-net
. Limits the impact of resource-intensive queries on Elasticsearch cluster performance when using the library. - Currently Implemented: Partially implemented in [Project Name]. Default timeouts might be in place in
elasticsearch-net
, but explicit and tuned timeouts are not configured for all Elasticsearch operations performed by the library. - Missing Implementation: Explicit query timeouts need to be configured and tuned for all critical Elasticsearch operations performed via
elasticsearch-net
in client settings or request configurations.
Mitigation Strategy: Review elasticsearch-net
Client Configuration
- Mitigation Strategy: Review
elasticsearch-net
Client Configuration - Description:
- Review all
elasticsearch-net
client configuration settings. ExamineConnectionSettings
and other configuration options used when initializing theElasticClient
to ensure secure and optimal settings. - Verify connection pooling settings in
elasticsearch-net
configuration. Ensure connection pooling is configured appropriately to optimize performance and resource utilization while considering security implications within theelasticsearch-net
client. - Review timeout settings (connection timeout, request timeout) within
elasticsearch-net
configuration. Confirm that timeouts are configured inelasticsearch-net
to prevent long-hanging requests and potential DoS scenarios. - Examine retry policies configured in
elasticsearch-net
. Understand the retry policies configured inelasticsearch-net
and ensure they are appropriate for the application's needs and do not introduce security risks (e.g., excessive retries in case of authentication failures when usingelasticsearch-net
). - Ensure secure connection settings (HTTPS, authentication) are correctly configured in
elasticsearch-net
. Double-check that HTTPS is enforced and authentication credentials are provided securely within theelasticsearch-net
client configuration. - Document
elasticsearch-net
client configuration. Maintain clear documentation of all client configuration settings and their purpose for secure and maintainable usage of the library.
- Review all
- Threats Mitigated:
- Configuration Errors Leading to Security Issues (Medium Severity): Prevents misconfigurations in
elasticsearch-net
client settings that could inadvertently introduce security vulnerabilities or weaken security controls when using the library. - Performance Issues Leading to DoS (Low Severity): Optimized
elasticsearch-net
configuration can improve performance and reduce the likelihood of performance-related DoS issues when interacting with Elasticsearch via the library.
- Configuration Errors Leading to Security Issues (Medium Severity): Prevents misconfigurations in
- Impact: Moderately reduces the risk of configuration errors leading to security issues and minimally reduces performance-related DoS risks associated with
elasticsearch-net
usage. Ensures theelasticsearch-net
client is configured securely and optimally. - Currently Implemented: Partially implemented in [Project Name]. Basic client configuration for
elasticsearch-net
is in place, but a comprehensive security review of all configuration settings has not been performed recently. - Missing Implementation: A dedicated security review of the
elasticsearch-net
client configuration is needed to ensure all settings are aligned with security best practices and application requirements for secure and efficient library usage.