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Full vulnerability report · 2023
CVE-2023-23382High confidence

Azure Machine Learning Compute Instance Information Disclosure Vulnerability

Microsoft · Azure Machine Learning

6.5MediumCVSS 3.1
Recommended action
Scheduled

Medium technical severity with no CISA KEV confirmation; remediate through the normal risk-based patch cycle unless local exposure raises the priority.

Patch available
R
Operational reassessment

Published severity in operational context

Open reassessment dashboard →
Published severityMediumOperational priority:Medium, unchanged from published severity.unchanged

Evidence used

  • No CISA KEV confirmation is currently recorded.
  • EPSS is 2.67% for the current model date.

Compensating controls

  • Validate the affected product branch and deploy the verified fixed release.
  • Restrict the affected network interface to trusted sources where business-safe.
  • Monitor vendor guidance and exploitation sources for a material change.

Verification

  1. Confirm that the asset runs Microsoft Azure Machine Learning and falls inside the recorded affected range.
  2. Verify the installed build against the product-specific fixed version after deployment.
  3. Validate exposure, authentication requirements and compensating controls in the actual environment.
  4. Reopen this reassessment when CVSS, KEV, EPSS, exploit evidence or remediation changes.
Mitigation target: As exposure requiresRemediation target: Within 365 days

This automated reassessment organises public evidence. It does not know asset exposure, business impact or control effectiveness and does not replace CVSS or a human risk decision.

Optional official sources

National CERT insights
?CERT means Computer Emergency Response Team; CSIRT is the closely related term Computer Security Incident Response Team.

Choose official national sources for this report. Each advisory shows its original language. Your selection is remembered on this device and included in shared links.

Official European source

ENISA European Vulnerability Database

Official EUVD identifiers, advisory evidence and known-exploited context. Missing fields are not treated as evidence of low risk.

1 current
ENISA EUVD identifier

EUVD-2023-27482

No EUVD known-exploited evidence

Azure Machine Learning Compute Instance Information Disclosure Vulnerability

EUVD state
Present in the current official mapping
Known exploitation
Not present in the current ENISA EUVD known-exploited dataset. This is not proof of no exploitation.
ENISA score
6.5 · CVSS 3.1
Advisory evidence
No linked advisory details stored yet
Recommended actionScheduled

Medium technical severity with no CISA KEV confirmation; remediate through the normal risk-based patch cycle unless local exposure raises the priority.

Patch available
01

What, why and how

Azure Machine Learning Compute Instance Information Disclosure Vulnerability

What

Azure Machine Learning Compute Instance Information Disclosure Vulnerability

Why

The storage of passwords in a recoverable format makes them subject to password reuse attacks by malicious users. In fact, it should be noted that recoverable encrypted passwords provide no significant benefit over plaintext passwords since they are subject not only to reuse by malicious attackers but also by malicious insiders. If a system administrator can recover a password directly, or use a brute force search on the available information, the administrator can use the password on other accounts.

How

An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may obtain information outside the intended access boundary.

What

Azure Machine Learning Compute Instance Information Disclosure Vulnerability

Why

The storage of passwords in a recoverable format makes them subject to password reuse attacks by malicious users. In fact, it should be noted that recoverable encrypted passwords provide no significant benefit over plaintext passwords since they are subject not only to reuse by malicious attackers but also by malicious insiders. If a system administrator can recover a password directly, or use a brute force search on the available information, the administrator can use the password on other accounts.

How

An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may obtain information outside the intended access boundary.

02

Exploit reality and attack path

CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.

Observed exploitation
?Confirmed exploitation and public exploit material are separate signals. Attacks can occur without public proof-of-concept or exploit code.
No confirmed evidence

No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.

Public PoC / exploit material
?Confirmed exploitation and public exploit material are separate signals. Attacks can occur without public proof-of-concept or exploit code.
None recorded

No exploit-tagged reference or CISA SSVC proof-of-concept state is currently recorded. Research may still exist outside the structured feeds.

Likely attack path
a network path → Storing Passwords in a Recoverable Format → obtain information outside the intended access boundary
Attack surface
Network
Privileges required
Low: a basic authenticated account is required
User interaction
None
Attack complexity
Low: no specialised conditions are recorded
Security boundary
Unchanged: impact remains within the vulnerable component's security authority
Weakness
?CWE means Common Weakness Enumeration: a standard category for the underlying weakness.
CWE-257 ↗

CWE-257: Storing Passwords in a Recoverable Format. The storage of passwords in a recoverable format makes them subject to password reuse attacks by malicious users. In fact, it should be noted that recoverable encrypted passwords provide no significant benefit over plaintext passwords since they are subject not only to reuse by malicious attackers but also by malicious insiders. If a system administrator can recover a password directly, or use a brute force search on the available information, the administrator can use the password on other accounts.

CVSS vector
?CVSS means Common Vulnerability Scoring System. The vector records the metric values used to calculate technical severity.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N/E:U/RL:O/RC:C

Common Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.

AVNetworkAttack vector: The vulnerable component can be reached over a network.ACLowAttack complexity: No specialised conditions are required beyond attacker-controlled input.PRLowPrivileges required: The attacker needs basic user-level privileges.UINoneUser interaction: No action by another user is required.SUnchangedScope: The security impact remains within the vulnerable component's authority.CHighConfidentiality impact: A successful attack can cause a major loss.INoneIntegrity impact: No direct loss is represented by this metric.ANoneAvailability impact: No direct loss is represented by this metric.
Post-exploitation / living off the land
No specific living-off-the-land technique is confirmed in the structured sources. Monitor normal administration tools for activity inconsistent with the affected service's baseline.
NetworkCWE-257
A

Official authority intelligence

Only matched European and national findings are included. Language selectors and unavailable sources are omitted.

ENISA EUVD · EUVD-2023-27482Official EUVD mapping

Azure Machine Learning Compute Instance Information Disclosure Vulnerability

Official EUVD record ↗
Cyber Security Agency of Singapore · English · CSA-SB-20230215Security Bulletin 15 Feb 2023

The Cyber Security Agency of Singapore included this CVE in its official Security Bulletin 15 Feb 2023, published on 15 February 2023. Open the linked bulletin for the product, severity and reference information published in that issue.

Official advisory ↗
CERT-FR · French · CERTFR-2023-AVI-0132Multiples vulnérabilités dans Microsoft Azure

De multiples vulnérabilités ont été corrigées dans Microsoft Azure . Elles permettent à un attaquant de provoquer une usurpation d'identité, une élévation de privilèges, une atteinte à la confidentialité des données et une exécution de code à distance.

Official advisory ↗
JVN iPedia · Japanese · JVNDB-2023-001271Azure Machine Learning における情報を公開されるされる脆弱性

Azure Machine Learning には、コンピューティング インスタンスに不備があるので、情報を公開されるされる脆弱性が存在します。

Official advisory ↗
KISA KrCERT/CC · Korean · KNVD-5987MS 9월 보안 위협에 따른 정기 보안 업데이트 권고

성 | | Microsoft Azure Kubernetes Service | CVE-2023-29332 | Microsoft Azure Kubernetes Service 권한 상승 취약성 | | Microsoft Teams | CVE-2023-29330 | Microsoft Teams 원격 코드 실행 취약성 | | Microsoft Teams | CVE-2023-29328 | Microsoft Teams 원격 코드 실행 취약성 | | Azure Machine Learning | CVE-2023-28312 | Azure Machine Learning 정보 공개 취약성 | | Microsoft Edge (Chromium-based) | CVE-2023-28261 | Microsoft Edge(Chromium 기반) 권한 상승 취약성 | | .NET and Visual Studio | CVE-2023-24936 | .NET, .NET Framework, Visual Studio 권한 상승 취약성 | | Microsoft PostScript Printer Driver | CVE-2023-24872 | Microsoft PostScript 및 PCL6 Class 프린터 드라이버 원격 코드 실행 취약성 | | Azure Machine Learning | CVE-2023-23382 | Azure Machine Learning 컴퓨팅 인스턴스 정보 공개 취약성 | | Microsoft Edge (Chromium-based) | CVE-2023-2312 | Chromium: CVE-2023-2312 Use after free in Offline | | Microsoft Exchange Server | CVE-2023-21709 | Microsoft Exchange Server 권한 상승 취약성 | | Microsoft Windows | CVE-2023-20569 | AMD: CVE-2023-20569 리턴 주소 예측자 | | 3D Viewer | CVE-2022-41303 | AutoDesk: CVE-2022-41303 Autodesk® FBX® SDK 2020 또는 이전 버전에서 UaF(Use after free) 취약성 | | AMD CPU Branch | CVE-2022-29900 | AMD: CVE-2022-29900 AMD CPU 분기 유형 혼동 | | Microsoft Edge (Chromium-based) | CVE-2022-29144 | Microsoft Edge(Chromium 기반) 권한 상승 취약성 | | Windows Photo Import API | CVE-2022-26928 | Windows 사진

Official advisory ↗
KISA KrCERT/CC · Korean · KNVD-5917MS 5월 보안 위협에 따른 정기 보안 업데이트 권고

| | Microsoft Edge (Chromium-based) | CVE-2023-2463 | Chromium: CVE-2023-2463 전체 화면 모드에서 부적절한 구현 | | Microsoft Edge (Chromium-based) | CVE-2023-2462 | Chromium: CVE-2023-2462 Prompts에서 부적절한 구현 | | Microsoft Edge (Chromium-based) | CVE-2023-2460 | Chromium: CVE-2023-2460 Extensions에서 신뢰할 수 없는 입력에 대한 불충분한 유효성 검사 | | Microsoft Edge (Chromium-based) | CVE-2023-2459 | Chromium: CVE-2023-2459 Prompts에서 부적절한 구현 | | Microsoft Office Excel | CVE-2023-23398 | Microsoft Excel 스푸핑 취약성 | | Microsoft Office Excel | CVE-2023-23396 | Microsoft Excel 서비스 거부 취약성 | | Service Fabric | CVE-2023-23383 | Service Fabric Explorer 스푸핑 취약성 | | Azure Machine Learning | CVE-2023-23382 | Azure Machine Learning 컴퓨팅 인스턴스 정보 공개 취약성 | | Microsoft Defender for IoT | CVE-2023-23379 | IoT용 Microsoft Defender 권한 상승 취약성 | | Microsoft Dynamics | CVE-2023-21807 | Microsoft Dynamics 365(온-프레미스) 교차-사이트 스크립팅 취약성 | | Visual Studio Code | CVE-2023-21779 | Visual Studio Code 원격 코드 실행 취약성 | | Microsoft Dynamics | CVE-2023-21778 | Microsoft Dynamics Unified Service Desk 원격 코드 실행 취약성 | | Microsoft Office Visio | CVE-2023-21738 | Microsoft Office Visio 원격 코드 실행 취약성 | | Windows RPC API | CVE-2023-21727 | 원격 프로시저 호출 런타임 원격 코드 실행 취약성 | | Microsoft Office Publisher | CVE-2023-21715 | Microsoft Publisher 보안 기능 바이패스 취약성 | | Microsoft Edge (Chromium-

Official advisory ↗
KISA KrCERT/CC · Korean · KNVD-5870MS 2월 보안 위협에 따른 정기 보안 업데이트 권고

al Studio 긴급 원격코드실행 Microsoft SQL Server 긴급 원격코드실행 Microsoft Dynamics 365 중요 스푸핑 Microsoft Azure 관련 소프트웨어 중요 원격코드실행 Microsoft Defender for Endpoint 중요 보안기능우회 IoT용 Microsoft Defender 중요 권한상승 Power BI 보고 서버 중요 스푸핑 [참고 사이트] [1] (한글) https://portal.msrc.microsoft.com/ko-kr/security-guidance [2] (영문) https://portal.msrc.microsoft.com/en-us/security-guidance [3] https://msrc.microsoft.com/update-guide/releaseNote/2023-Feb [4] https://msrc.microsoft.com/update-guide o 취약점 요약 정보 제품 카테고리 CVE 번호 CVE 제목 Visual Studio CVE-2023-41953 GitHub: CVE-2022-41953 Git GUI Clone 원격 코드 실행 취약점 3D Builder CVE-2023-23390 3D Builder 원격 코드 실행 취약점 Azure Machine Learning CVE-2023-23382 Azure 기계 학습 컴퓨팅 인스턴스 정보 공개 취약점 Visual Studio CVE-2023-23381 Visual Studio 원격 코드 실행 취약점 Microsoft Defender for IoT CVE-2023-23379 IoT용 Microsoft Defender에서 발생하는 권한 상승 취약점 3D Builder CVE-2023-23378 Print 3D 원격 코드 실행 취약점 3D Builder CVE-2023-23377 3D Builder 원격 코드 실행 취약점 Windows Common Log File System Driver CVE-2023-23376 Windows Common Log File System Driver 권한 상승 취약점 Microsoft Graphics Component CVE-2023-21823 Windows 그래픽 구성 요소 원격 코드 실행 취약점 Windows Win32K CVE-2023-21822 Windows 그래픽 구성 요소 권한 상승 취약점 Windows Distributed File System (DFS) CVE-2023-21820 Windows 분산 파일 시스템(DFS) 원격 코드 실행 취약점 Windows Cryptographic Services CVE-2023-21819 Windows 보안 채

Official advisory ↗
03

Patch and workaround

Operational remediation based on structured source evidence.

Status
?Patch availability is based on structured fixed-version fields and authoritative update references. If no fix is verified, check the vendor advisory before making a change.
Patch available
Affected
Azure Machine Learning: 3.0.0 < 3.0.02076.0001
Fixed
An authoritative update reference is available, but the fixed version is not recorded in the structured CVE fields. Check the linked vendor advisory for the applicable release.
Action
Review the linked authoritative reference and apply the recorded fixed release appropriate to the affected product branch.
Workaround
No verified workaround is recorded. If business-safe, reduce exposure to the affected interface and allow only trusted sources until authoritative guidance is available.
04

Evidence and provenance

Published 14 Feb 2023 · Last source change 19 Aug 2026, 16:26 UTC · CWE-257 · Storing Passwords in a Recoverable Format

CVE recordCVE.org · 5.2
CVSS sourceCNA
EPSS source
?The date BlackTree first stored a score for this CVE from the daily FIRST EPSS feed.
FIRST · tracked since 2026-08-14
European sourceENISA EUVD · EUVD-2023-27482
Product sourceCNA
Remediation sourceCVE/CNA references
CWE sourceOther authority
NVD statusNVD modified after enrichment

Core structured fields are present and their contributing authorities are shown above.

Material change intelligence

What changed after publication

View recent updates ↗

No material field changes have been recorded since change tracking began. Routine source refreshes and cosmetic edits are intentionally excluded.

Material fields only · duplicate refreshes suppressed · history retained for the configured operational retention period
Technical terms and abbreviations used in this report
CVE
Common Vulnerabilities and Exposures: the public identifier for one disclosed vulnerability.
CVSS
Common Vulnerability Scoring System: a technical severity framework; it is not patching priority by itself.
EPSS
Exploit Prediction Scoring System: FIRST's estimate of the probability that exploitation activity will be observed in the next 30 days; it is a forecast, not confirmation.
CWE
Common Weakness Enumeration: the standard category describing the underlying software or hardware weakness.
CNA
CVE Numbering Authority: an organisation authorised to assign and publish CVE records.
CISA ADP
Cybersecurity and Infrastructure Security Agency Authorized Data Publisher: structured enrichment added to a CVE record.
NVD
National Vulnerability Database: NIST's enrichment service for CVE records.
CERT / CSIRT
A computer security incident response team that publishes warnings or coordinates incident response.
PoC
Proof of concept: public material that demonstrates or helps reproduce exploitation.
CSAF
Common Security Advisory Framework: a machine-readable format for security advisories.
LoTL
Living off the land: abuse of legitimate tools or system functions during an attack.
Free version - for non-commercial use only.CVE-2023-23382 · cve.blacktree.nl