🛡️ CVE-2025-59503 — azure-compute-resource-provider
Description
Server-side request forgery (ssrf) in Azure Compute Gallery 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 changed, meaning a successful attack can affect components beyond the vulnerable one. Rated impact: confidentiality high, integrity high, availability high.
Weakness class
CVE-2025-59503 is classified as CWE-918: Server-Side Request Forgery (SSRF). The server fetches a URL supplied by the caller, which can be pointed at internal systems it alone can reach.
Affected software
CVE-2025-59503 is recorded against 1 package.
- azure-compute-resource-provider
Timeline and source
Published on 23 October 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:C/C:H/I:H/A:H
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| azure-compute-resource-provider | — | — |
References
More CVE 2025 advisories
Browse all of CVE 2025 in the advisory index.
Exploit Protection
Are you running azure-compute-resource-provider?
CVE-2025-59503 carries CVSS 10.0 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-2025-59503 →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.