CVE-2026-0532
Published: 14 January 2026
Summary
CVE-2026-0532 is a high-severity SSRF (CWE-918) vulnerability in Elastic (inferred from references). Its CVSS base score is 8.6 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Data from Local System (T1005); ranked at the 22.3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as APIs and Models; in the Privacy and Disclosure risk domain.
The strongest mitigations our analysis identified are NIST 800-53 AC-6 (Least Privilege) and SI-10 (Information Input Validation).
Deeper analysis
CVE-2026-0532 is a vulnerability combining External Control of File Name or Path (CWE-73) with Server-Side Request Forgery (CWE-918) in the Google Gemini connector configuration within Kibana's Alerts & Connectors feature. The issue arises because the server processes connector configurations without proper validation of a specially crafted credentials JSON payload, enabling arbitrary network requests and file reads. It affects Elastic Stack deployments using Kibana, with a CVSS v3.1 base score of 8.6 (AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N).
An attacker with authenticated access and privileges sufficient to create or modify connectors can exploit this vulnerability. By submitting a malicious credentials JSON payload, they can trick the server into performing arbitrary file disclosures and network requests, potentially exposing sensitive data on the server or internal network resources.
Elastic's security advisory ESA-2026-05 addresses this issue with patches in Kibana versions 8.19.10, 9.1.10, and 9.2.4, as detailed in the update announcement at https://discuss.elastic.co/t/kibana-8-19-10-9-1-10-9-2-4-security-update-esa-2026-05/384524.
The vulnerability targets the Google Gemini connector, which integrates an AI/ML model, highlighting risks in AI-related plugin configurations within security platforms. No public information on real-world exploitation is available.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-2517
Vulnerability details
External Control of File Name or Path (CWE-73) combined with Server-Side Request Forgery (CWE-918) can allow an attacker to cause arbitrary file disclosure through a specially crafted credentials JSON payload in the Google Gemini connector configuration. This requires an attacker…
more
to have authenticated access with privileges sufficient to create or modify connectors (Alerts & Connectors: All). The server processes a configuration without proper validation, allowing for arbitrary network requests and for arbitrary file reads.
- CWE(s)
AI Security AnalysisAI
- AI Category
- APIs and Models
- Risk Domain
- Privacy and Disclosure
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: gemini
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Direct arbitrary file read via path control enables T1005; SSRF enables internal network service discovery via T1046.
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Directly addresses the lack of validation on the specially crafted credentials JSON payload that enables CWE-73 path traversal and CWE-918 SSRF for arbitrary file disclosure and network requests.
Requires timely identification, reporting, and correction of flaws like this unpatched Kibana connector vulnerability, with patches available in versions 8.19.10, 9.1.10, and 9.2.4.
Enforces least privilege to restrict authenticated users from having unnecessary permissions to create or modify connectors, blocking exploitation even if the validation flaw exists.