Security Resilience

CVE-2023-32228

Published
11 April 2024
Modified
15 April 2026
CVSS Score v3.1 4.6
Click a component to see what it means
Raw vectorCVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N
EPSS Score 0.0023 13th percentile
Risk Priority 35 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2023-32228 is a medium-severity Misinterpretation of Input (CWE-115) vulnerability in Bosch (inferred from references). Its CVSS base score is 4.6 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique LSASS Memory (T1003.001); ranked at the 13th 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 SI-10 (Information Input Validation) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

A firmware bug which may lead to misinterpretation of data in the AMC2-4WCF and AMC2-2WCF allowing an adversary to grant access to the last authorized user.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1003.001 LSASS Memory Credential Access
Adversaries may attempt to access credential material stored in the process memory of the Local Security Authority Subsystem Service (LSASS).
T1012 Query Registry Discovery
Adversaries may interact with the Windows Registry to gather information about the system, configuration, and installed software.
T1016 System Network Configuration Discovery Discovery
Adversaries may look for details about the network configuration and settings, such as IP and/or MAC addresses, of systems they access or through information discovery of remote systems.
T1016.002 Wi-Fi Discovery Discovery
Adversaries may search for information about Wi-Fi networks, such as network names and passwords, on compromised systems.
T1018 Remote System Discovery Discovery
Adversaries may attempt to get a listing of other systems by IP address, hostname, or other logical identifier on a network that may be used for Lateral Movement from the current system.
T1021.006 Windows Remote Management Lateral Movement
Adversaries may use [Valid Accounts](https://attack.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-73798Shared CWE-115
CVE-2025-5826Shared CWE-115
CVE-2025-54584Shared CWE-115
CVE-2026-42004Shared CWE-115
CVE-2023-0880Shared CWE-115
CVE-2025-22870Shared CWE-115
CVE-2023-32260Shared CWE-115
CVE-2025-5747Shared CWE-115
CVE-2025-32908Shared CWE-115
CVE-2025-25069Shared CWE-115

Affected Assets

Bosch
—
inferred from references and description; NVD did not file a CPE for this CVE

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

Input validation directly stops the system from accepting and acting on misinterpreted data values.

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 partial match
blocks

Secure SDLC practices directly require correct input parsing/validation to avoid misinterpretation flaws.

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.

blocks

Secure development lifecycle mandates input validation and canonicalization that directly prevent misinterpretation of inputs.

blocks

A.8.26 requires identifying and specifying security requirements (including input validation, resilience against SQL injections, integrity checks, and output controls) that can stop misinterpretation of input from being exploitable, but this is only a minority slice of CWE-115 because the control itself performs no validation or enforcement and depends on other controls to implement the requirements.

blocks

Secure architecture principles include defensive input processing and error handling that reduce misinterpretation risks.

prevents

Secure coding standards require strict input validation and canonical forms to eliminate misinterpretation vulnerabilities.

finds

Security testing can detect input misinterpretation flaws but does not itself implement the preventive controls.

References