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CVE-2026-31856: CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in parse-community parse-server

0
Critical
VulnerabilityCVE-2026-31856cvecve-2026-31856cwe-89
Published: Wed Mar 11 2026 (03/11/2026, 17:14:16 UTC)
Source: CVE Database V5
Vendor/Project: parse-community
Product: parse-server

Description

CVE-2026-31856 is a critical SQL injection vulnerability in the PostgreSQL storage adapter of parse-community's parse-server, affecting versions >= 9. 0. 0 and < 9. 6. 0-alpha. 3, and versions below 8. 6. 29. The flaw arises from improper neutralization of special elements in SQL commands when processing Increment operations on nested object fields using dot notation. An attacker able to send write requests to the REST API can inject arbitrary SQL subqueries, potentially bypassing Class-Level Permissions (CLPs) and Access Control Lists (ACLs) to read any data from the database.

AI-Powered Analysis

AILast updated: 03/11/2026, 18:00:43 UTC

Technical Analysis

Parse Server is an open-source backend platform that supports multiple database adapters, including PostgreSQL and MongoDB. This vulnerability, tracked as CVE-2026-31856 and classified under CWE-89 (SQL Injection), specifically affects the PostgreSQL storage adapter. The issue occurs when the server processes Increment operations on nested object fields expressed with dot notation (e.g., stats.counter). The 'amount' value used in these operations is directly interpolated into SQL queries without proper parameterization or type validation, allowing an attacker to inject malicious SQL subqueries. Exploitation requires the ability to send write requests to the Parse Server REST API, which is often exposed in web or mobile backend deployments. Successful exploitation enables attackers to bypass built-in security mechanisms such as Class-Level Permissions (CLPs) and Access Control Lists (ACLs), thereby reading arbitrary data from the database. Notably, MongoDB-based deployments are not vulnerable due to different query handling. The vulnerability is present in parse-server versions from 9.0.0 up to but not including 9.6.0-alpha.3, and in versions below 8.6.29. The vendor has addressed the issue in versions 9.6.0-alpha.3 and 8.6.29. The CVSS 4.0 vector indicates network attack vector, no privileges or user interaction required, and high impact on confidentiality and integrity, with no impact on availability.

Potential Impact

The vulnerability allows unauthenticated remote attackers to perform SQL injection attacks via the REST API, leading to unauthorized data disclosure by bypassing CLPs and ACLs. This can result in exposure of sensitive user data, intellectual property, or other confidential information stored in the PostgreSQL database backend. Because the exploit requires no authentication or user interaction, the attack surface is broad, especially for publicly accessible Parse Server deployments. The integrity of data can also be compromised if attackers modify queries or data via injection. The availability impact is minimal, but the breach of confidentiality and integrity can lead to severe reputational damage, regulatory penalties, and loss of customer trust. Organizations relying on parse-server with PostgreSQL backends are at significant risk, especially those handling sensitive or regulated data. The lack of known exploits in the wild currently provides a window for proactive mitigation, but the critical severity score underscores the urgency of patching.

Mitigation Recommendations

1. Upgrade parse-server to version 9.6.0-alpha.3 or later, or 8.6.29 or later, where the vulnerability is fixed. 2. If immediate upgrade is not possible, restrict access to the Parse Server REST API to trusted networks or authenticated users only, minimizing exposure to unauthenticated attackers. 3. Implement Web Application Firewall (WAF) rules to detect and block suspicious payloads containing SQL injection patterns targeting Increment operations or dot notation fields. 4. Audit and monitor logs for unusual write requests or anomalous query patterns indicative of injection attempts. 5. Review and tighten Class-Level Permissions (CLPs) and Access Control Lists (ACLs) to limit write access where feasible. 6. Consider deploying database-level protections such as query parameterization enforcement or read-only replicas for sensitive data. 7. Conduct penetration testing focused on REST API endpoints handling nested field increments to verify mitigations. 8. Educate developers and administrators about secure coding practices and the risks of direct query interpolation.

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Technical Details

Data Version
5.2
Assigner Short Name
GitHub_M
Date Reserved
2026-03-09T19:02:25.011Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 69b1aa112f860ef943525d79

Added to database: 3/11/2026, 5:44:49 PM

Last enriched: 3/11/2026, 6:00:43 PM

Last updated: 3/11/2026, 6:46:13 PM

Views: 4

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