SurrealDB versions before 2.2.2 contain a memory exhaustion vulnerability in the string::replace function that fails to restrict resulting string… (CVE-2025-71395)
SurrealDB versions before 2.2.2 contain a memory exhaustion vulnerability in the string::replace function that fails to restrict resulting string length when using regex patterns. An authenticated attacker can craft a malicious query to exhaust server memory through unbounded string allocations, causing denial of service.
AI Analysis
Technical Summary
The vulnerability in SurrealDB prior to version 2.2.2 involves the string::replace function failing to restrict the length of the output string when regex patterns are used. This flaw allows an authenticated attacker to trigger excessive memory consumption by submitting specially crafted queries, resulting in denial of service due to memory exhaustion. The issue is categorized under CWE-789 (Uncontrolled Memory Allocation). No known exploits in the wild have been reported. No patch links are provided, and the vendor has not confirmed a fix. The vulnerability has a high severity rating based on available data.
Potential Impact
Successful exploitation leads to denial of service by exhausting server memory, which can disrupt availability of the SurrealDB service. The attacker must be authenticated to trigger the vulnerability. There is no indication of data disclosure or privilege escalation from the provided information.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, restrict access to authenticated users and monitor for unusual query patterns that may trigger excessive memory usage. Avoid using untrusted regex patterns in string::replace operations.
SurrealDB versions before 2.2.2 contain a memory exhaustion vulnerability in the string::replace function that fails to restrict resulting string… (CVE-2025-71395)
Description
SurrealDB versions before 2.2.2 contain a memory exhaustion vulnerability in the string::replace function that fails to restrict resulting string length when using regex patterns. An authenticated attacker can craft a malicious query to exhaust server memory through unbounded string allocations, causing denial of service.
CVSS v4.0
Affected software
pkg:github/surrealdb/surrealdbRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability in SurrealDB prior to version 2.2.2 involves the string::replace function failing to restrict the length of the output string when regex patterns are used. This flaw allows an authenticated attacker to trigger excessive memory consumption by submitting specially crafted queries, resulting in denial of service due to memory exhaustion. The issue is categorized under CWE-789 (Uncontrolled Memory Allocation). No known exploits in the wild have been reported. No patch links are provided, and the vendor has not confirmed a fix. The vulnerability has a high severity rating based on available data.
Potential Impact
Successful exploitation leads to denial of service by exhausting server memory, which can disrupt availability of the SurrealDB service. The attacker must be authenticated to trigger the vulnerability. There is no indication of data disclosure or privilege escalation from the provided information.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, restrict access to authenticated users and monitor for unusual query patterns that may trigger excessive memory usage. Avoid using untrusted regex patterns in string::replace operations.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- GHSA-849x-5qr7-wxfm
- Osv Schema Version
- 1.4.0
- Aliases
- ["CVE-2025-71395"]
- Ecosystems
- []
- Database Specific Severity
- HIGH
- Cvss Version
- 4.0
Threat ID: 6a5ba17e44ab8fbf7c789ba9
Added to database: 07/18/2026, 15:53:34 UTC
Last enriched: 07/18/2026, 16:22:38 UTC
Last updated: 07/19/2026, 00:21:46 UTC
Views: 11
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