Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:NSummary
CVE-2026-44002 is a medium-severity Generation of Error Message Containing Sensitive Information (CWE-209) vulnerability in Vm2 Project Vm2. Its CVSS base score is 5.8 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Software (T1592.002); ranked at the 15th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SI-11 (Error Handling) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-30072
Vulnerability Data
vm2 is an open source vm/sandbox for Node.js. Prior to 3.11.0, vm2's CallSite wrapper class (intended as a safe wrapper for V8's native CallSite) blocks getThis() and getFunction() to prevent host object leakage, but allows getFileName() to return unsanitized host…
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absolute paths. Any sandboxed code can extract the full directory structure, library paths, and framework versions of the host server. This vulnerability is fixed in 3.11.0.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V16.5.1
Mitigating Controls (NIST 800-53 r5) AI
si-11 directly requires error messages to avoid revealing exploitable information about the system or its 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.
Secure SDLC practices directly require sanitized error handling to prevent sensitive data disclosure.
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 coding standards explicitly forbid exposing sensitive data in errors.
Security testing can detect error messages that leak sensitive information.
Logging policy can require suppression of sensitive data in error messages.
Secure SDLC mandates error-handling rules that avoid leaking sensitive information.
Application security requirements can specify safe error messaging.
Secure architecture principles include proper exception handling.