Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:NCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2023-32052 is a medium-severity SSRF (CWE-918) vulnerability in Microsoft Power Apps. Its CVSS base score is 5.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique LSASS Memory (T1003.001); ranked at the 44th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
Microsoft Power Apps (online) contains a spoofing vulnerability tracked as CVE-2023-32052 and assigned CWE-918. The flaw received a CVSS 3.1 base score of 5.4 reflecting network attack vector, low attack complexity, and low privileges required, with partial impact to confidentiality and integrity but no availability effect.
An authenticated user with low privileges can send crafted requests that cause the Power Apps service to perform unauthorized actions on the attacker's behalf, enabling limited spoofing of requests or data. No user interaction is needed, and the attack can be launched remotely over the network.
The official Microsoft Security Response Center advisory at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2023-32052 provides the authoritative guidance on available updates or configuration changes. Exploitation probability remained low after the July 2023 disclosure but rose materially to a peak of 0.0741 in January 2025 before receding to the current value of 0.0054, indicating a period of increased interest well after public release.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-36339
Vulnerability Data
Microsoft Power Apps (online) Spoofing Vulnerability
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing attempts server-side requests to internal resources, identifying SSRF weaknesses for remediation.
Outbound connections to external resources can be monitored and limited at the boundary, reducing SSRF impact.
Validates server-side URLs and resource references to block SSRF attempts.
Detects server-side request forgery through monitoring of unexpected outbound connections.
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.
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
Network segmentation and egress controls can limit the damage from successful SSRF requests.
Secure development practices directly include input validation and destination allow-listing that prevent SSRF.
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.