CVE-2024-58364 in SurrealDB
Summary
by MITRE • 07/18/2026
SurrealDB versions before 1.2.1 contain an uncaught exception handling vulnerability in span rendering when parsing queries with errors on line terminator characters. Authorized clients can submit malformed queries that trigger a panic in the span rendering code, crashing the server and causing denial of service.
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Analysis
by VulDB Data Team • 07/18/2026
This vulnerability exists within SurrealDB versions prior to 1.2.1 where improper exception handling occurs during span rendering operations when processing queries containing malformed line terminator characters. The flaw represents a classic case of inadequate error propagation that allows malicious or malformed input to bypass normal execution flow and trigger system-level panics. When authorized clients submit carefully crafted queries with invalid line terminator sequences, the database engine fails to properly catch and handle these exceptional conditions during the span rendering phase of query processing. This unhandled exception causes the entire SurrealDB server process to crash abruptly, resulting in immediate service disruption and denial of service for all legitimate users attempting to access the database system. The vulnerability specifically targets the query parsing pipeline where line terminators are processed as part of the lexical analysis stage before semantic validation occurs, making it particularly dangerous as it can be exploited during normal database operations.
The technical implementation of this vulnerability stems from the absence of proper try-catch mechanisms or error boundary checks within the span rendering component responsible for generating diagnostic information and error messages. When parsing queries containing malformed line terminators such as unexpected carriage return or line feed combinations, the internal parsing state machine encounters an inconsistency that the code does not anticipate or gracefully handle. This particular weakness aligns with CWE-459 which describes incomplete cleanup vulnerabilities related to improper exception handling and resource management failures. The panic condition occurs at a low-level execution point where the system attempts to render spans for error reporting, but fails to account for edge cases in input validation. According to ATT&CK framework category T1499, this vulnerability maps to "Endpoint Denial of Service" techniques as it specifically targets the availability aspect of the database service by causing unauthorized disruption through controlled input manipulation.
The operational impact of this vulnerability extends beyond simple service interruption as it provides attackers with a reliable method for causing sustained denial of service against SurrealDB installations. Authorized clients can repeatedly submit malformed queries to exhaust server resources and maintain persistent disruption without requiring elevated privileges or complex attack vectors. The crash frequency increases proportionally with the number of malicious query attempts, allowing for both immediate and prolonged service degradation. Organizations running affected versions face significant operational risks including data access interruption, potential customer impact, and increased incident response overhead. The vulnerability also creates opportunities for attackers to perform reconnaissance activities by observing system behavior under stress conditions, potentially identifying additional weaknesses in the database engine's error handling mechanisms. Recovery from such attacks requires manual intervention to restart services and may result in temporary loss of transactional state or connection persistence.
Mitigation strategies should focus on immediate version upgrades to SurrealDB 1.2.1 or later where proper exception handling has been implemented for span rendering operations. Organizations should also implement query filtering mechanisms at network boundaries to detect and block suspicious line terminator patterns before they reach the database engine. Input validation routines should be enhanced to preprocess queries for malformed line terminators, particularly those containing null bytes, unexpected control characters, or non-standard whitespace sequences that commonly trigger this class of vulnerabilities. System monitoring should include detection of sudden service restarts or crash events related to query processing activities, enabling rapid incident response when such attacks occur. Security teams should also consider implementing rate limiting and query complexity controls to prevent abuse of the vulnerability through automated attack scripts. The fix implemented in version 1.2.1 addresses the root cause by introducing proper error boundaries around span rendering operations and ensuring that malformed inputs do not propagate into system-level panic conditions, thereby maintaining service availability even when processing malformed database queries.