Summary
Kiteworks Core contains a deserialization weakness that may process attacker-influenced data unsafely. Under conditions where crafted data reaches the affected deserialization path, an attacker could potentially execute code remotely on the appliance.
Affected context
The issue affects Kiteworks Core deployments using an affected deserialization path in versions before the vendor's remediated release. Exploitation is conditional: an attacker must first influence or supply the data that the appliance later deserializes, so the weakness is not independently exploitable without access to that data flow.
Exploit preconditions
- Attack surface: A Kiteworks Core appliance or service that reaches the affected deserialization functionality
- Required access: Ability to influence, submit, store, or otherwise cause crafted data to be processed
- Trigger point: Deserialization of the attacker-influenced data
- Why exploitation is possible: The application may reconstruct objects from untrusted serialized input without sufficiently restricting allowable types or enforcing safe validation before processing
Why this happens
The underlying issue is the use of a deserialization mechanism that treats attacker-influenced serialized data as trusted object state. If object types or reconstruction behavior are not strictly constrained, specially crafted data may cause unintended operations during deserialization, mapping to CWE-502: Deserialization of Untrusted Data. The vulnerability is conditional because the attacker must first control or influence the serialized input.
Potential impact
- An attacker could execute arbitrary code on the appliance
- The appliance's confidentiality, integrity, or availability may be compromised
- Sensitive files or service credentials could be exposed
- The affected system could be used to access connected services or support further lateral movement
General mitigation guidance
Mitigation generally focuses on removing unsafe deserialization behavior and reducing trust in serialized input.
Common defensive patterns include:
- Prefer data formats and parsers that represent data rather than executable object graphs
- Use allowlisted types and restricted object construction when deserialization is unavoidable
- Validate schemas and enforce size, structure, and type constraints before processing
- Reduce or eliminate attacker influence over serialized data paths
- Run appliance services with least privilege and isolate sensitive capabilities
- Apply vendor-supported security fixes through the organization's change-management process
How teams detect issues like this
Detection approaches may include:
- Static analysis for generic deserialization APIs, unsafe object reconstruction, and unrestricted type resolution
- Code review for data flows in which request, file, queue, or database content reaches deserialization without trust-boundary checks
- Runtime monitoring for unexpected deserialization errors, unusual object types, or child-process activity from appliance services
- Policy enforcement requiring approved serialization formats, schemas, and parser configurations
- Automated security review tools that flag CWE-502 patterns during development and release checks
