Cyber Resilience

CVE-2024-47762

Published
03 October 2024
Modified
15 April 2026
CVSS Score v3.1 5.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N
EPSS Score 0.0037 30th percentile
Risk Priority 46 floored blend · peak EPSS

Summary

CVE-2024-47762 is a medium-severity Expected Behavior Violation (CWE-440) vulnerability. Its CVSS base score is 5.8 (Medium).

Operationally, ranked at the 30th 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-6 (Security and Privacy Function Verification) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

Backstage is an open framework for building developer portals. Configuration supplied through APP_CONFIG_* environment variables, for example APP_CONFIG_backend_listen_port=7007, where unexpectedly ignoring the visibility defined in configuration schema. This occurred even if the configuration schema specified that they should have backend…

more

or secret visibility. This was an intended feature of the APP_CONFIG_* way of supplying configuration, but now clearly goes against the expected behavior of the configuration system. This behavior leads to a risk of potentially exposing sensitive configuration details intended to remain private or restricted to backend processes. The issue has been resolved in version 0.3.75 of the @backstage/plugin-app-backend package. As a temporary measure, avoid supplying secrets using the APP_CONFIG_ configuration pattern. Consider alternative methods for setting secrets, such as the environment substitution available for Backstage configuration.

CWE(s)

Related Threats

CVEs Like This One

CVE-2025-46712Shared CWE-440
CVE-2024-7246Shared CWE-440
CVE-2025-27094Shared CWE-440
CVE-2026-8806Shared CWE-440
CVE-2026-42752Shared CWE-440
CVE-2025-52953Shared CWE-440
CVE-2023-32732Shared CWE-440
CVE-2025-32728Shared CWE-440
CVE-2025-13940Shared CWE-440
CVE-2026-3344Shared CWE-440

Affected Assets

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation directly checks whether implemented functions match their specifications.

Security function verification confirms that functions operate according to their defined expected behavior.

Requiring a documented security architecture and design reduces the chance that implementation deviates from intended behavior.

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.

PR.PS-06 full match
prevents

Secure SDLC practices directly enforce specification compliance and catch expected-behavior violations during development.

ID.IM-02 partial match
prevents

Security testing and exercises help discover behavior deviations before deployment.

ID.RA-01 partial match
prevents

Vulnerability identification can surface spec-violating flaws, while eliminating the weakness reduces some vulnerability backlog.

PR.PS-02 partial match
prevents

Routine software maintenance and patching can remediate discovered specification violations.

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.

finds

Security testing in development and acceptance validates that functions behave as specified.

prevents

Secure development life cycle mandates verification against specifications, directly reducing expected-behavior violations.

prevents

Application security requirements explicitly define expected behavior that must be met.

prevents

Secure coding practices enforce adherence to functional specifications during implementation.

finds

Change management can catch specification deviations introduced by modifications.

none

Documented operating procedures reduce the chance that functions deviate from intended behavior.

References