CVE-2025-47732
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedDeserialization of untrusted data in Microsoft Dataverse allows an authorized attacker to execute code over a network.
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · moderate confidenceA deserialization vulnerability in Microsoft Dataverse allows an authenticated attacker to execute arbitrary code remotely. The flaw stems from unsafe deserialization of data processed by the Dataverse platform, enabling remote code execution with the privileges of the affected component.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.
NVD · CPE dataall versionsCVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Network
- Complexity
- Low
- Privileges
- None
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
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Confirm Microsoft Dataverse usageReview your environment to determine if Microsoft Dataverse (part of Microsoft Power Platform) is actively in use. Check for Dataverse databases, connected Power Apps, Power Automate flows, or any applications that leverage Dataverse as their data backend.Affected if Your organization uses Microsoft Dataverse in any capacity, as all versions are affected by this deserialization vulnerability.
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Audit Dataverse plug-insUse the Power Platform Admin Center or Dataverse API to enumerate registered plug-ins and custom workflows. Review the Plug-in Registration Tool (PRT) for any unauthorized or suspicious plug-ins that may indicate exploitation attempts.Affected if Unknown, untrusted, or newly registered plug-ins are present that were not intentionally deployed by your administrators.
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Review Dataverse data connectionsExamine all data connections and external data sources configured in Dataverse environments. Check for unexpected or unauthorized connections that could be used to inject malicious serialized payloads.Affected if Unexpected data connections exist or connections to untrusted external sources are configured.
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Check Dataverse audit logs for exploitation indicatorsSearch Dataverse audit logs for events related to deserialization-heavy operations, unusual plugin executions, or failed deserialization attempts. Look for patterns such as unexpected assembly loads, type instantiation from untrusted sources, or elevated error rates in plugin execution.Affected if Audit logs reveal suspicious plugin execution patterns, unauthorized assembly loads, or anomalous error patterns indicative of deserialization exploitation attempts.
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Review user authentication and session activitySince this vulnerability requires an authenticated attacker, review Azure AD sign-in logs and Dataverse audit history for unauthorized user sessions, especially from privileged accounts or unusual IP addresses.Affected if Evidence exists of unauthorized authentication, credential misuse, or session hijacking attempts targeting Dataverse.
If your organization uses Microsoft Dataverse, you are potentially affected by this vulnerability; detection should focus on identifying unauthorized plug-ins, suspicious data connections, and anomalous audit log activity indicative of exploitation attempts.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
From vendor dataMicrosoft customers should monitor for official security updates from Microsoft and review Dataverse data connections and plug-ins for suspicious activity. Apply vendor patches upon release.
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- Testing2.0 h
- Review / QA2.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2025-47732 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2025-47732 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.
- Verified mitigations, workarounds, and config changes
- Version or environment caveats, and links to real fixes
- No weaponised exploit code, or anything meant to cause harm
- No spam, self-promotion, credentials, or personal data