CVE-2025-2450
Ni Vision Builder Ai 2023
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HSummary
CVE-2025-2450 is a high-severity Product UI does not Warn User of Unsafe Actions (CWE-356) vulnerability in Ni Vision Builder Ai. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique User Execution (T1204); 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 Computer Vision; in the Supply Chain and Deployment risk domain.
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-2025-2450 is a remote code execution vulnerability in NI Vision Builder AI that stems from missing warnings during VBAI file processing. The flaw permits execution of dangerous scripts without user notification, affecting installations of the software and carrying a CVSS 3.1 score of 8.8.
Remote attackers can exploit the issue by supplying a malicious VBAI file or directing a target to a malicious page. Successful exploitation grants arbitrary code execution in the context of the current user, though user interaction is required to trigger the flaw.
The issue was reported as ZDI-CAN-22833 and is detailed in the Zero Day Initiative advisory ZDI-25-147. The EPSS score remains low, with a current value of 0.0052 and a peak of 0.0102.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-7566
Vulnerability Data
NI Vision Builder AI VBAI File Processing Missing Warning Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of NI Vision Builder AI. User interaction is required to exploit this vulnerability in that…
more
the target must visit a malicious page or open a malicious file. The specific flaw exists within the processing of VBAI files. The issue results from allowing the execution of dangerous script without user warning. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-22833.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Computer Vision
- Risk Domain
- Supply Chain and Deployment
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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- 1 hardening rule · 1 OS baseline
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Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Mandates explicit user-visible indication, directly countering absence of warnings for device activation.
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 include UI design requirements that warn users before unsafe actions.
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.
Security testing can verify presence of warnings for unsafe user actions.
Security awareness training can teach users to heed or demand warnings for unsafe actions.
Secure development life cycle requires UI design to warn users before unsafe actions.
Application security requirements include user warnings for dangerous operations.
Secure architecture principles can mandate confirmation prompts for risky actions.
Secure coding practices can embed user warnings before unsafe operations.