🛡️ CVE-2025-30392 — azure-ai-bot-service
Description
Improper authorization in Azure Bot Framework SDK allows an unauthorized attacker to elevate privileges over a network.
How this vulnerability can be exploited
This issue can be reached over the network, attack complexity is low, an attacker needs no privileges on the target. No user interaction is required. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality high, integrity high, availability high.
Weakness class
CVE-2025-30392 is classified as CWE-285: Improper Authorization. A request is carried out without confirming that the caller is permitted to perform it on that specific resource.
Affected software
CVE-2025-30392 is recorded against 1 package.
- azure-ai-bot-service
Timeline and source
Published on 30 April 2025 and last revised on 17 June 2026. No public exploit is currently recorded for this entry. Record sourced from NVD.
References
Details
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| azure-ai-bot-service | — | — |
References
Similar Threats
- High CVE-2026-32174
- Critical CVE-2025-55244
- High CVE-2025-30389
More CVE 2025 advisories
Browse all of CVE 2025 in the advisory index.
Exploit Protection
Are you running azure-ai-bot-service?
CVE-2025-30392 carries CVSS 9.8 Critical rating. BotEraser checks your installation against this and other known CVE records, and blocks IPs associated with exploit activity.
Check My Site For CVE-2025-30392 →No credit card required · Results in minutes
ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.