CVE-2025-49747 — AI Deep Analysis Summary

🚨 **Essence**: A critical security hole in **Microsoft Azure Machine Learning**. <br>⚠️ **Consequences**: Due to missing authorization checks, attackers can escalate privileges.…

🛡️ **Root Cause**: **CWE-862** (Missing Authorization). <br>❌ **The Flaw**: The system fails to verify if a user has the right permissions before allowing actions. It’s a basic access control failure.

🏢 **Affected**: **Microsoft Azure Machine Learning**. <br>📅 **Vendor**: Microsoft. <br>📝 **Note**: Specific version numbers aren't listed in the data, but any instance of this service with the flaw is vulnerable.

💀 **Hacker Capabilities**: <br>🔓 **Privileges**: Can elevate their access level (Privilege Escalation). <br>📂 **Data**: Can read, modify, or delete sensitive ML data and models.…

🔑 **Exploitation Threshold**: **Medium**. <br>🔒 **Auth Required**: Yes (**PR:L** - Privileges Required: Low). The attacker needs *some* valid login, but not admin rights.…

🚫 **Public Exploit**: **No**. <br>📄 **PoCs**: The `pocs` field is empty. No public Proof-of-Concept code is available yet. <br>🌍 **Wild Exploitation**: Unlikely at this stage due to lack of public tools.

🔍 **Self-Check**: <br>1. Review Azure ML access logs for unusual privilege changes. <br>2. Audit IAM roles for excessive permissions. <br>3.…

🩹 **Official Fix**: **Yes**. <br>📢 **Source**: Microsoft Security Response Center (MSRC) advisory is published. <br>🔗 **Link**: [MSRC Update Guide](https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-49747).…

🛡️ **No Patch Workaround**: <br>1. **Restrict Access**: Limit who can access Azure ML resources. <br>2. **Least Privilege**: Ensure users have only minimum necessary permissions. <br>3.…

🔥 **Urgency**: **HIGH**. <br>⚡ **Priority**: Patch immediately. <br>📉 **Risk**: CVSS Vector indicates High severity (8.0+ range implied by H/H/H).…