Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:HSummary
CVE-2025-57870 is a critical-severity SQL Injection (CWE-89) vulnerability in Esri Arcgis Server. Its CVSS base score is 10.0 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 41th 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-2025-57870 is a SQL injection vulnerability (CWE-89) affecting Esri ArcGIS Server versions 11.3, 11.4, and 11.5 running on Windows, Linux, and Kubernetes platforms. The flaw resides in a specific ArcGIS Feature Service operation, enabling the injection and execution of arbitrary SQL commands against the underlying Enterprise Geodatabase. Published on October 22, 2025, it carries a maximum CVSS v3.1 base score of 10.0 (AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H), reflecting its critical severity due to network accessibility, low attack complexity, and lack of prerequisites.
A remote, unauthenticated attacker can exploit this vulnerability over the network without user interaction. Successful exploitation allows execution of arbitrary SQL commands, potentially granting unauthorized access to sensitive data, modification of database contents, or deletion of records in the Enterprise Geodatabase.
Esri has addressed the issue through a security patch detailed in their advisory at https://www.esri.com/arcgis-blog/products/trust-arcgis/administration/arcgis-server-feature-services-security-patch, recommending immediate application to vulnerable ArcGIS Server Feature Services installations.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-35576
Vulnerability Data
A SQL Injection vulnerability exists in Esri ArcGIS Server versions 11.3, 11.4 and 11.5 on Windows, Linux and Kubernetes. This vulnerability allows a remote, unauthenticated attacker to execute arbitrary SQL commands via a specific ArcGIS Feature Service operation. Successful exploitation…
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can potentially result in unauthorized access, modification, or deletion of data from the underlying Enterprise Geodatabase.
- 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.