Summary
Open-Web-Analytics contains a deserialization flaw in the Remote Event Queue Endpoint, where remotely supplied event data is processed by Event::loadFromArray in queue.php.
An attacker may be able to submit manipulated event data and trigger unsafe object handling, potentially resulting in code execution or other server-side compromise when the endpoint is exposed.
Affected context
The vulnerability occurs in Open-Web-Analytics deployments that expose the Remote Event Queue Endpoint and process attacker-influenced event data through Event::loadFromArray.
Risk depends on the endpoint being reachable by an attacker and on the application treating serialized or structurally unexpected input as trusted object data without sufficiently strict validation.
Exploit preconditions
- Attack surface: The remotely accessible Remote Event Queue Endpoint
- Required access: Network access sufficient to submit event data; authentication requirements depend on deployment configuration
- Trigger point: Processing of supplied event data by
Event::loadFromArrayinqueue.php - Why exploitation is possible: Manipulated input may reach deserialization or object reconstruction logic without adequate type, structure, or trust-boundary enforcement
Why this happens
The underlying issue is unsafe handling of externally supplied serialized or object-like data during event loading. This behavior maps primarily to CWE-502: Deserialization of Untrusted Data, because input can influence object reconstruction in a security-sensitive server-side path.
The associated CWE-20: Improper Input Validation reflects the insufficient validation of event data before it is interpreted by deserialization-related logic. Treating remote event content as trusted structured data increases the risk that attacker-controlled values affect application behavior.
Potential impact
- An attacker may execute code in the Open-Web-Analytics server process
- The application or its underlying host could be compromised
- Confidential analytics data could be disclosed or modified
- Event processing could be disrupted or manipulated
- The compromised application could be used for lateral movement, depending on its privileges
General mitigation guidance
Mitigation generally focuses on removing unsafe deserialization from remotely reachable paths and reducing the amount of trust placed in event payloads.
Common defensive patterns include:
- Using data-only parsers and explicit allowlisted schemas instead of general-purpose object deserialization
- Validating event types, fields, lengths, and value formats before any transformation or object construction
- Rejecting unexpected properties and enforcing strict content and size limits
- Protecting remote queue endpoints with appropriate authentication, authorization, and network access controls
- Running the application with least-privilege operating-system and database permissions
- Separating queue-processing services from sensitive administrative or infrastructure functions
- Keeping deserialization libraries and application components maintained through the organization's normal secure release process
How teams detect issues like this
Detection approaches may include:
- Static analysis rules identifying deserialization, object reconstruction, or dynamic invocation on request-derived data
- Code review checks for queue or event handlers that pass untrusted input into generic loaders
- Tests using malformed, unexpected, and type-conflicting event fields to verify strict rejection
- Web application monitoring for unusual requests to remote event queue endpoints, repeated parsing failures, or anomalous event structures
- Policy enforcement requiring schemas, authentication, and authorization for externally reachable ingestion endpoints
- Neutral automated security review tools that flag unsafe deserialization and missing input validation patterns
