Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2026-31856 is a critical-severity SQL Injection (CWE-89) vulnerability in Parseplatform Parse-Server. Its CVSS base score is 9.3 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 35th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-31856 is a SQL injection vulnerability in Parse Server, an open source backend deployable on any Node.js-compatible infrastructure. The issue affects the PostgreSQL storage adapter specifically during Increment operations on nested object fields using dot notation, such as "stats.counter." In these cases, the amount value is directly interpolated into the SQL query without parameterization or type validation, enabling injection of arbitrary SQL subqueries. MongoDB deployments are unaffected. The vulnerability carries a CVSS v3.1 base score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H) and is associated with CWE-89.
An unauthenticated attacker with the ability to send write requests to the Parse Server REST API can exploit this flaw. By crafting a malicious Increment request, the attacker can inject SQL subqueries that allow reading arbitrary data from the PostgreSQL database, circumventing Class-Level Permissions (CLPs) and Access Control Lists (ACLs). This grants high confidentiality, integrity, and availability impacts remotely with low complexity.
Parse Server has addressed the vulnerability in versions 9.6.0-alpha.3 and 8.6.29, as detailed in the project's GitHub security advisory (GHSA-q3vj-96h2-gwvg) and corresponding release notes. Security practitioners should upgrade to these patched versions to mitigate the risk.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-11255
Vulnerability Data
Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. A SQL injection vulnerability exists in the PostgreSQL storage adapter when processing Increment operations on nested object fields using dot notation (e.g.,…
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stats.counter). The amount value is interpolated directly into the SQL query without parameterization or type validation. An attacker who can send write requests to the Parse Server REST API can inject arbitrary SQL subqueries to read any data from the database, bypassing CLPs and ACLs. MongoDB deployments are not affected. This vulnerability is fixed in 9.6.0-alpha.3 and 8.6.29.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V6.2.5
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.
Input validation directly stops untrusted data from reaching SQL query construction without neutralization.
Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.
System monitoring can identify attempted SQLi exploitation via anomalous queries after the weakness exists.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.
Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.
Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.
Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.
Secure-coding rules and security testing phases mandate the use of parameterized queries or equivalent escaping, preventing the construction of dynamic SQL statements from untrusted input.
Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.