CVE-2026-16498
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:LCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2026-16498 is a critical-severity Exposure of Data Element to Wrong Session (CWE-488) vulnerability in Hashicorp (inferred from references). Its CVSS base score is 10.0 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Web Session Cookie (T1550.004); ranked at the 39th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as AI Agent Protocols and Integrations; in the Protocol-Specific Risks risk domain.
The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) and AC-4 (Information Flow Enforcement) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-49941
Vulnerability Data
The terraform-mcp-server before version 1.1.0 is vulnerable to a cross-tenant credential reuse issue in the streamable-HTTP stateless transport mode that may allow one user's Terraform token to be used to execute tool calls on behalf of subsequent users. This vulnerability,…
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CVE-2026-16498, is fixed in terraform-mcp-server 1.1.0.
- CWE(s)
AI Security AnalysisAI
- AI Category
- AI Agent Protocols and Integrations
- Risk Domain
- Protocol-Specific Risks
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: mcp, mcp
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
AC-3 enforces access decisions that can be scoped to the correct session context.
AC-4 controls information flows between entities, reducing cross-session leakage.
SC-4 directly stops unintended transfer of data through shared resources that different sessions may access.
SC-39 isolates execution domains so one session cannot reach another's state or data.
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.
Enforcing authorization policies and least privilege can prevent cross-session data exposure when session separation is treated as an access rule.
Protecting data-in-use directly addresses runtime leakage of session data to unauthorized contexts.
Logical access controls and segmentation can be applied to isolate session state within applications or environments.
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.
Secure development lifecycle practices include session-management controls that prevent exposure of data to the wrong session.
Application security requirements explicitly call for proper session isolation and state management.
Secure system architecture principles require isolation of session state to avoid cross-session data leakage.
Secure coding standards mandate correct session handling to prevent exposure of data elements to the wrong session.
Security testing can detect the weakness but does not itself implement the preventive control.
Information access restriction directly enforces session boundaries so data is not exposed to the wrong session.