Security Resilience

CVE-2023-23382

Microsoft Azure Machine Learning 3.0.0 – 3.0.02076.0001

Published
14 February 2023
Modified
19 August 2026
Patch / advisory
CVSS Score v3.1 6.5
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
EPSS Score 0.027 85th percentile
Risk Priority 55 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-2023-23382 is a medium-severity Storing Passwords in a Recoverable Format (CWE-257) vulnerability in Microsoft Azure Machine Learning. Its CVSS base score is 6.5 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Data Obfuscation (T1001); ranked in the top 15% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as Other AI Platforms.

EU & UK References

Vulnerability Data

Azure Machine Learning Compute Instance Information Disclosure Vulnerability

CWE(s)

AI Security AnalysisAI

AI Category
Other AI Platforms
Risk Domain
N/A
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: machine learning

Related Threats

MITRE ATT&CK Enterprise Techniques

T1001 Data Obfuscation Command And Control
Adversaries may obfuscate command and control traffic to make it more difficult to detect.
T1001.002 Steganography Command And Control
Adversaries may use steganographic techniques to hide command and control traffic to make detection efforts more difficult.
T1008 Fallback Channels Command And Control
Adversaries may use fallback or alternate communication channels if the primary channel is compromised or inaccessible in order to maintain reliable command and control and to avoid data transfer thresholds.
T1014 Rootkit Stealth
Adversaries may use rootkits to hide the presence of programs, files, network connections, services, drivers, and other system components.
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.
T1016.001 Internet Connection Discovery Discovery
Adversaries may check for Internet connectivity on compromised systems.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-28312Same product: Microsoft Azure Machine Learning
CVE-2023-21726Same vendor: Microsoft
CVE-2023-38738Same vendor: Microsoft
CVE-2023-28224Same vendor: Microsoft
CVE-2023-24946Same vendor: Microsoft
CVE-2023-36403Same vendor: Microsoft
CVE-2023-36005Same vendor: Microsoft
CVE-2024-6694Shared CWE-257
CVE-2024-38263Same vendor: Microsoft
CVE-2023-24899Same vendor: Microsoft

Affected Assets

microsoft
azure machine learning
3.0.0 — 3.0.02076.0001

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)

—

Validate
Prove the fix (OWASP ASVS)
  • V11.4.2
  • V11.4.4

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.DS-01 partial match
blocks

Protecting data-at-rest with cryptographic hashes directly prevents recoverable password storage.

PR.PS-06 partial match
blocks

Secure SDLC practices include requirements for non-recoverable password storage.

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.

removes
blocks

A.5.17's password management system requirements (h: store/transmit in protected form; approved crypto per 8.24; no recoverable formats implied by strong practices) stop exploitation of recoverable storage for most cases, but the remainder (non-password auth info or systems outside the password management system) is nameable.

degrades

Requires proper use of cryptography, which can mitigate recoverable storage if applied correctly to passwords.

blocks

A.8.25 requires that security be designed and implemented in the SDLC (including secure coding, requirements, testing and training), but does not itself stop a recoverable-format password from being written into the product or stop that stored password from being exploited afterwards

removes

A.8.26 only requires that recoverable-format storage be identified as a risk and specified as a requirement; it does not itself mandate, design or implement non-recoverable storage, so the flaw (passwords stored in recoverable form) can still exist after the control is satisfied.

References