CVE-2024-38109: CWE-918: Server-Side Request Forgery (SSRF) in Microsoft Azure Health Bot
An authenticated attacker can exploit an Server-Side Request Forgery (SSRF) vulnerability in Microsoft Azure Health Bot to elevate privileges over a network.
AI Analysis
Technical Summary
CVE-2024-38109 is a critical Server-Side Request Forgery (SSRF) vulnerability identified in Microsoft Azure Health Bot, a cloud service designed to enable healthcare organizations to build and deploy AI-powered health bots. The vulnerability allows an authenticated attacker to exploit SSRF to make the Azure Health Bot service send crafted requests to internal or external resources on behalf of the attacker. SSRF vulnerabilities typically arise when an application accepts user-supplied URLs or network requests and fetches resources without proper validation or sanitization. In this case, the attacker can leverage the SSRF flaw to elevate privileges within the network environment, potentially accessing sensitive internal services or metadata endpoints that are otherwise inaccessible externally. The CVSS 3.1 score of 9.1 (critical) reflects the high impact and ease of exploitation: the vector is network-based (AV:N), requires no privileges (PR:N), no user interaction (UI:N), and affects confidentiality and availability significantly (C:H, A:H), though integrity impact is not noted (I:N). The vulnerability is publicly disclosed as of August 13, 2024, but no known exploits in the wild have been reported yet. No specific affected versions are listed, implying the issue may affect all current deployments of Azure Health Bot until patched. The lack of available patches at the time of disclosure suggests organizations must apply mitigations proactively. Given the nature of Azure Health Bot as a cloud service, exploitation could allow attackers to pivot within the victim’s cloud environment, access internal APIs, or disrupt service availability, posing serious risks to healthcare data confidentiality and service continuity.
Potential Impact
For European organizations, particularly those in the healthcare sector leveraging Microsoft Azure Health Bot, this vulnerability poses significant risks. Exploitation could lead to unauthorized access to sensitive patient data or internal healthcare systems, violating GDPR and other data protection regulations. The ability to elevate privileges and potentially disrupt service availability threatens operational continuity of critical healthcare services, which could have direct consequences on patient care. Additionally, SSRF attacks can be used as a foothold to move laterally within cloud environments, increasing the risk of broader compromise. Given the criticality of healthcare data and services in Europe, exploitation could result in severe reputational damage, regulatory penalties, and financial losses. Organizations relying on Azure Health Bot must consider the potential for attackers to exploit this vulnerability to bypass network segmentation and access internal resources, which is especially concerning in multi-tenant cloud environments common in Europe.
Mitigation Recommendations
1. Immediate mitigation should include restricting and validating all user-supplied URLs or network requests within Azure Health Bot configurations to prevent SSRF payloads. 2. Implement strict network segmentation and firewall rules to limit the Azure Health Bot service’s ability to access internal-only endpoints or sensitive metadata services. 3. Monitor and log all outbound requests from Azure Health Bot instances for unusual or unauthorized access patterns. 4. Apply the official security patches from Microsoft as soon as they become available. 5. Use Azure-native security features such as Private Link or service endpoints to isolate Azure Health Bot traffic from the public internet. 6. Conduct regular security assessments and penetration testing focusing on SSRF and related vulnerabilities in cloud services. 7. Educate administrators and developers about SSRF risks and secure coding practices to prevent similar issues in custom integrations. 8. Employ Web Application Firewalls (WAF) with rules tuned to detect and block SSRF attempts targeting Azure Health Bot endpoints.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Italy, Spain
CVE-2024-38109: CWE-918: Server-Side Request Forgery (SSRF) in Microsoft Azure Health Bot
Description
An authenticated attacker can exploit an Server-Side Request Forgery (SSRF) vulnerability in Microsoft Azure Health Bot to elevate privileges over a network.
AI-Powered Analysis
Technical Analysis
CVE-2024-38109 is a critical Server-Side Request Forgery (SSRF) vulnerability identified in Microsoft Azure Health Bot, a cloud service designed to enable healthcare organizations to build and deploy AI-powered health bots. The vulnerability allows an authenticated attacker to exploit SSRF to make the Azure Health Bot service send crafted requests to internal or external resources on behalf of the attacker. SSRF vulnerabilities typically arise when an application accepts user-supplied URLs or network requests and fetches resources without proper validation or sanitization. In this case, the attacker can leverage the SSRF flaw to elevate privileges within the network environment, potentially accessing sensitive internal services or metadata endpoints that are otherwise inaccessible externally. The CVSS 3.1 score of 9.1 (critical) reflects the high impact and ease of exploitation: the vector is network-based (AV:N), requires no privileges (PR:N), no user interaction (UI:N), and affects confidentiality and availability significantly (C:H, A:H), though integrity impact is not noted (I:N). The vulnerability is publicly disclosed as of August 13, 2024, but no known exploits in the wild have been reported yet. No specific affected versions are listed, implying the issue may affect all current deployments of Azure Health Bot until patched. The lack of available patches at the time of disclosure suggests organizations must apply mitigations proactively. Given the nature of Azure Health Bot as a cloud service, exploitation could allow attackers to pivot within the victim’s cloud environment, access internal APIs, or disrupt service availability, posing serious risks to healthcare data confidentiality and service continuity.
Potential Impact
For European organizations, particularly those in the healthcare sector leveraging Microsoft Azure Health Bot, this vulnerability poses significant risks. Exploitation could lead to unauthorized access to sensitive patient data or internal healthcare systems, violating GDPR and other data protection regulations. The ability to elevate privileges and potentially disrupt service availability threatens operational continuity of critical healthcare services, which could have direct consequences on patient care. Additionally, SSRF attacks can be used as a foothold to move laterally within cloud environments, increasing the risk of broader compromise. Given the criticality of healthcare data and services in Europe, exploitation could result in severe reputational damage, regulatory penalties, and financial losses. Organizations relying on Azure Health Bot must consider the potential for attackers to exploit this vulnerability to bypass network segmentation and access internal resources, which is especially concerning in multi-tenant cloud environments common in Europe.
Mitigation Recommendations
1. Immediate mitigation should include restricting and validating all user-supplied URLs or network requests within Azure Health Bot configurations to prevent SSRF payloads. 2. Implement strict network segmentation and firewall rules to limit the Azure Health Bot service’s ability to access internal-only endpoints or sensitive metadata services. 3. Monitor and log all outbound requests from Azure Health Bot instances for unusual or unauthorized access patterns. 4. Apply the official security patches from Microsoft as soon as they become available. 5. Use Azure-native security features such as Private Link or service endpoints to isolate Azure Health Bot traffic from the public internet. 6. Conduct regular security assessments and penetration testing focusing on SSRF and related vulnerabilities in cloud services. 7. Educate administrators and developers about SSRF risks and secure coding practices to prevent similar issues in custom integrations. 8. Employ Web Application Firewalls (WAF) with rules tuned to detect and block SSRF attempts targeting Azure Health Bot endpoints.
Affected Countries
For access to advanced analysis and higher rate limits, contact root@offseq.com
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- microsoft
- Date Reserved
- 2024-06-11T22:36:08.188Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682cd0f71484d88663aeb1ca
Added to database: 5/20/2025, 6:59:03 PM
Last enriched: 7/4/2025, 3:12:20 AM
Last updated: 8/11/2025, 5:19:36 PM
Views: 12
Related Threats
CVE-2025-33100: CWE-798 Use of Hard-coded Credentials in IBM Concert Software
MediumCVE-2025-33090: CWE-1333 Inefficient Regular Expression Complexity in IBM Concert Software
HighCVE-2025-27909: CWE-942 Permissive Cross-domain Policy with Untrusted Domains in IBM Concert Software
MediumCVE-2025-1759: CWE-244 Improper Clearing of Heap Memory Before Release ('Heap Inspection') in IBM Concert Software
MediumCVE-2025-4962: CWE-284 Improper Access Control in lunary-ai lunary-ai/lunary
HighActions
Updates to AI analysis are available only with a Pro account. Contact root@offseq.com for access.
External Links
Need enhanced features?
Contact root@offseq.com for Pro access with improved analysis and higher rate limits.