Mitigation Strategy: Comprehensive Error Handling (with olivere/elastic
)
Description:
- Check Every
olivere/elastic
Error: After every call to anolivere/elastic
function (e.g.,client.Index()
,client.Search()
,client.Get()
), immediately check the returnederror
value usingif err != nil
. - Log with
olivere/elastic
Context: Inside theif err != nil
block, log the error, including:- The specific
olivere/elastic
function that failed. - The parameters passed to the function (excluding sensitive data).
- A descriptive message explaining the context.
- Never log raw data from Elasticsearch or user input.
- The specific
- Differentiate
olivere/elastic
Error Types: Use Go's error handling:- Use
errors.Is
anderrors.As
to check for specific error types. - Use type assertions (e.g.,
if _, ok := err.(*elastic.Error); ok { ... }
) to check forelastic.Error
and extract details like the status code. This is crucial for understanding Elasticsearch-specific errors.
- Use
- Implement Graceful Degradation (based on
olivere/elastic
errors):- Network Errors: Retry with exponential backoff (using
olivere/elastic
's retry mechanisms if available, or custom logic). - "Not Found" Errors (404): Handle gracefully (return a default value, user-friendly message).
- Server Errors (5xx): Log and potentially alert an administrator.
- Client Errors (4xx, excluding 404): Investigate (likely an application bug or incorrect Elasticsearch configuration).
- Permission Errors (403): Return an "access denied" message.
- Network Errors: Retry with exponential backoff (using
- Centralized
olivere/elastic
Error Handling (Optional): Consider a helper function or middleware to handle commonolivere/elastic
error patterns.
Threats Mitigated:
- Information Leakage (Severity: Medium): Prevents sensitive Elasticsearch cluster details or data snippets from being exposed in error messages.
- Application Instability (Severity: High): Prevents unhandled
olivere/elastic
errors from crashing the application. - Denial of Service (DoS) (Severity: Medium): Prevents repeated
olivere/elastic
errors from causing resource exhaustion.
Impact:
- Information Leakage: Risk significantly reduced.
- Application Instability: Risk eliminated.
- DoS: Risk reduced.
Currently Implemented:
- Basic error checking (
if err != nil
) indata_ingestion
. - Logging with
logrus
, but context is sometimes missing.
Missing Implementation:
- Error type differentiation is inconsistent.
- Graceful degradation is missing in
search_api
. - Centralized error handling is not implemented.
Mitigation Strategy: Secure Query Construction (using olivere/elastic
Builders)
Description:
- Avoid String Concatenation: Never build Elasticsearch queries by concatenating strings, especially with user input.
- Exclusively Use
olivere/elastic
Query Builders:elastic.NewMatchQuery
,elastic.NewTermQuery
,elastic.NewBoolQuery
,elastic.NewRangeQuery
, etc. Use the appropriate builder for each query type. This is the core of preventing query injection.
- Sanitize Input (if unavoidable, with
olivere/elastic
): If you must use user input (e.g., for a field name), sanitize it before passing it to anolivere/elastic
builder:- Whitelist: Define allowed values.
- Validation: Validate against the whitelist.
- Rejection: Reject invalid input.
- Avoid
elastic.NewRawStringQuery
: Do not useelastic.NewRawStringQuery
or similar constructs with user-provided data. This bypasses the safety of the builders.
Threats Mitigated:
- Query Injection (Severity: Critical): Prevents attackers from injecting malicious Elasticsearch query clauses.
- Denial of Service (DoS) (Severity: High): Prevents expensive query attacks.
Impact:
- Query Injection: Risk almost entirely eliminated.
- DoS: Risk significantly reduced.
Currently Implemented:
- Query builders are used in most of
search_api
.
Missing Implementation:
- Input sanitization is missing for some fields in
advanced_search
.
Mitigation Strategy: Secure Connection Configuration (with olivere/elastic
)
Description:
- HTTPS with
olivere/elastic
: Use HTTPS:elastic.SetScheme("https")
. - Authentication with
olivere/elastic
:elastic.SetBasicAuth("username", "password")
(less preferred).elastic.SetAPIKey("your-api-key")
(recommended).
- Disable Sniffing (if appropriate) with
olivere/elastic
: If not using a load balancer that handles node discovery:elastic.SetSniff(false)
. - Certificate Validation with
olivere/elastic
:- Create an
http.Client
with proper TLS configuration (including CA certificates). - Use
elastic.SetHttpClient(yourHttpClient)
to set the custom client. This is essential for preventing MitM attacks.
- Create an
Threats Mitigated:
- Unauthorized Access (Severity: Critical): Prevents unauthorized connections.
- Man-in-the-Middle (MitM) Attacks (Severity: Critical): Prevents interception and modification of communication.
- Data Breaches (Severity: Critical): Protects data in transit.
Impact:
- Unauthorized Access: Risk eliminated.
- MitM Attacks: Risk eliminated.
- Data Breaches: Risk significantly reduced.
Currently Implemented:
- HTTPS is enabled.
- Basic authentication is used.
Missing Implementation:
- Certificate validation is not explicitly configured.
- API key authentication should be implemented.
- Sniffing is enabled incorrectly.
Mitigation Strategy: Excessive Data Retrieval (using olivere/elastic
features)
Description:
- Pagination with
olivere/elastic
:elastic.SearchService.From(offset)
elastic.SearchService.Size(limit)
- Handle multiple pages in your application logic.
- Scroll API with
olivere/elastic
(for very large datasets):elastic.ScrollService
- Iterate with
scrollService.Do(ctx)
. - Clear with
scrollService.Clear(ctx)
.
- Aggregations with
olivere/elastic
: Use aggregations instead of retrieving all documents when possible:elastic.NewSumAggregation
,elastic.NewAvgAggregation
,elastic.NewTermsAggregation
, etc.- Add to search:
searchService.Aggregation("name", aggregation)
.
Threats Mitigated:
- Performance Degradation (Severity: Medium): Prevents slow queries.
- Resource Exhaustion (Severity: High): Prevents out-of-memory errors.
- Denial of Service (DoS) (Severity: Medium): Prevents data-based DoS attacks.
Impact:
- Performance Degradation: Risk significantly reduced.
- Resource Exhaustion: Risk significantly reduced.
- DoS: Risk reduced.
Currently Implemented:
- Pagination in main search.
- Aggregations for some reports.
Missing Implementation:
- Scroll API is not used.