Karl.Fail

Tag: azure

  • CVE-2025-21415: Critical Privilege Escalation in Azure AI Face Service

    Overview

    Microsoft has disclosed a critical vulnerability identified as CVE-2025-21415 in the Azure AI Face Service. This flaw allows for an elevation of privilege through an authentication bypass via spoofing. With a CVSS v3.1 base score of 9.9, the vulnerability poses a significant threat to cloud-based identity and access controls.

    What is Azure AI Face Service?

    Azure AI Face Service is part of Microsoft’s Cognitive Services platform, enabling facial recognition features such as identity verification, emotion detection, and face grouping. It is widely used in security, access control, and user engagement systems that rely on biometric authentication.

    Technical Details

    The vulnerability is categorized under CWE-290: Authentication Bypass by Spoofing. This means that an attacker can potentially forge or manipulate identity credentials to gain unauthorized access. In this case, a low-privileged authenticated user can elevate their access rights without direct interaction or additional validation steps.

    The CVSS vector string CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H highlights key aspects of the risk:

    • Attack Vector: Network
    • Attack Complexity: Low
    • Privileges Required: Low
    • User Interaction: None
    • Scope: Changed
    • Impact: High on confidentiality, integrity, and availability

    Affected Systems

    The vulnerability affects the Azure AI Face Service as a whole. Microsoft has not specified particular version numbers, as the service is hosted and maintained within the Azure cloud infrastructure. The issue is exclusive to the cloud-hosted environment and cannot be mitigated by on-premises patching.

    Mitigation and Recommendations

    Microsoft has addressed the issue via backend updates. There is no manual patch required by customers. However, organizations should:

    • Review access logs for suspicious activity
    • Audit user roles and privileges
    • Ensure applications using Face API enforce additional identity verification layers

    According to CISA’s SSVC assessment, the vulnerability has total technical impact, although it is currently not known to be exploited and not automatable.

    Conclusion

    CVE-2025-21415 emphasizes the importance of secure authentication design, especially in services that manage biometric data. Cloud customers leveraging the Azure AI Face Service should ensure identity access policies are reviewed and monitored frequently. For more details, visit the Microsoft Security Advisory.

  • Critical Privilege Escalation in Azure AI Face Service (CVE-2025-21415)

    Overview

    CVE-2025-21415 exposes a critical vulnerability in Microsoft’s Azure AI Face Service, a cloud-based biometric recognition platform. The flaw allows an authorized attacker to bypass authentication through spoofing techniques, resulting in elevation of privilege over the network.

    Technical Details

    This vulnerability is classified under CWE-290: Authentication Bypass by Spoofing. It enables a threat actor with existing access to manipulate the authentication flow, impersonating users or services without proper verification.

    Once successful, the attacker can perform actions with elevated permissions, potentially gaining control over sensitive identity services and AI-powered applications that rely on the Face API. This is particularly concerning in multi-tenant environments and systems integrated with other Azure security mechanisms.

    CVSS Score and Severity

    According to CVSS v3.1, the vulnerability has a base score of 9.9 (Critical). The vector string is:

    CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

    • Attack Vector: Network
    • Attack Complexity: Low
    • Privileges Required: Low
    • User Interaction: None
    • Scope: Changed
    • Impact: High on confidentiality, integrity, and availability

    These attributes indicate that the attack is easy to execute, requires minimal privileges, and could have cascading effects across service boundaries.

    Affected Systems

    The vulnerability affects all deployments of the Azure AI Face Service, with no specific versioning due to its nature as a hosted cloud service.

    Mitigation and Recommendations

    • Microsoft has issued updates and mitigations through the Azure platform. Customers should verify that their instance of the Face Service is operating with the latest security patches.
    • Audit access control and authentication logs for anomalies related to identity spoofing or privilege escalation.
    • Ensure strict role-based access controls (RBAC) and multi-factor authentication (MFA) are in place across dependent Azure resources.

    Conclusion

    CVE-2025-21415 is a stark reminder that even cloud-native AI services can be susceptible to privilege escalation via authentication bypass. Organizations using Azure’s Face API should act promptly to secure their deployments and validate trust boundaries within their identity architectures.

    For more details, refer to Microsoft’s official advisory: MSRC: CVE-2025-21415

  • CVE-2025-29827: Critical Privilege Escalation in Azure Automation

    Overview

    On May 8, 2025, Microsoft disclosed a critical vulnerability identified as CVE-2025-29827 in Azure Automation, a cloud-based service that allows users to automate management tasks across Azure and non-Azure environments. The issue is categorized as an Elevation of Privilege (EoP) vulnerability resulting from Improper Authorization, tracked under CWE-285.

    Technical Details

    The vulnerability stems from improper authorization mechanisms within Azure Automation. An attacker who already has limited access to the service could potentially exploit this flaw to escalate privileges over the network. According to the CVSS v3.1 scoring, the vulnerability received a critical base score of 9.9, indicating a severe risk due to its:

    • Attack Vector (AV): Network
    • Attack Complexity (AC): Low
    • Privileges Required (PR): Low
    • User Interaction (UI): None
    • Scope (S): Changed
    • Confidentiality (C): High
    • Integrity (I): High
    • Availability (A): Low

    The vulnerability is exploitable under certain conditions, but its impact could be total if leveraged successfully.

    Understanding CWE-285: Improper Authorization

    CWE-285 refers to a class of vulnerabilities where the software fails to perform proper checks before granting access to protected resources. In this case, Azure Automation incorrectly validates the identity or role of the requestor, enabling privilege escalation even for lower-tier users.

    Impacted Software

    The affected product is:

    • Microsoft Azure Automation — all versions listed as “N/A” are impacted

    The issue affects unknown platforms, and Microsoft has marked the service as vulnerable without disclosing specific versions. Users and administrators of Azure Automation should consult the official advisory and ensure that patches or mitigation steps are applied immediately.

    Mitigation and Recommendations

    Microsoft has released guidance and updates addressing CVE-2025-29827. Customers are urged to:

    • Apply all relevant security updates from the Microsoft Security Response Center (MSRC).
    • Review and audit Automation account permissions and role assignments.
    • Limit the use of automation credentials and restrict access to automation runbooks.

    Organizations leveraging Azure Automation in production or sensitive environments should prioritize remediation and continue to monitor Microsoft security advisories for further developments.

    Conclusion

    CVE-2025-29827 serves as a critical reminder of the risks associated with cloud automation tools and the importance of enforcing strict access controls. While the vulnerability requires low privileges to exploit, its potential for damage is high due to inadequate authorization validation. Admins must act quickly to mitigate the risk and ensure the security of automated workflows in Azure.

  • CVE-2025-29972: Critical SSRF Vulnerability in Azure Storage Resource Provider

    Critical SSRF Flaw Discovered in Azure Storage Resource Provider

    On May 8, 2025, Microsoft disclosed a critical vulnerability identified as CVE-2025-29972, impacting the Azure Storage Resource Provider (SRP). This vulnerability allows authenticated attackers to perform Server-Side Request Forgery (SSRF) across the network, potentially enabling spoofing attacks in affected cloud environments.

    What is SSRF?

    Server-Side Request Forgery (SSRF) is a security flaw where an attacker can force a server to make HTTP requests to internal or external systems on their behalf. This can lead to unauthorized access to sensitive services, token leaks, or privilege escalation, especially in cloud environments with metadata endpoints or internal APIs.

    Technical Details

    The vulnerability resides in Azure’s SRP service and arises when an authenticated user sends specially crafted network requests that trick the service into sending spoofed responses or requests. Although the user must be authorized, no user interaction is required, and the attack can be performed remotely.

    The vulnerability is categorized under CWE-918: Server-Side Request Forgery (SSRF).

    CVSS v3.1 Score

    The issue has been assigned a CVSS v3.1 base score of 9.9 (CRITICAL) with the following vector:

    CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

    This score reflects:

    • Attack Vector: Network – remotely exploitable
    • Attack Complexity: Low – requires no specialized conditions
    • Privileges Required: Low – attacker must be authenticated
    • User Interaction: None
    • Scope: Changed – impacts components beyond the vulnerable one
    • Impact on Confidentiality, Integrity, and Availability: High

    Affected Systems

    The Azure Storage Resource Provider is a component within the Azure ecosystem that manages and orchestrates storage resources such as blobs, files, and queues. While specific version identifiers were not disclosed, Microsoft has confirmed the issue affects the SRP service in its hosted environments.

    Mitigation

    Microsoft has issued guidance and mitigation steps via its security advisory. Cloud administrators should:

    • Review the official Microsoft advisory
    • Apply available patches or configuration changes
    • Restrict overly permissive user roles
    • Monitor access logs for unusual internal network requests

    References

    Conclusion

    CVE-2025-29972 presents a critical risk in Microsoft Azure environments due to the nature of SSRF vulnerabilities. Although exploitation requires authentication, the low complexity and high impact make immediate action essential. Organizations should take swift steps to validate protections and follow vendor recommendations.

  • CVE-2025-30390: Critical Privilege Escalation Vulnerability in Azure Machine Learning

    Overview

    On April 30, 2025, Microsoft published details about a critical security vulnerability identified as CVE-2025-30390 in Azure Machine Learning (Azure ML). This vulnerability allows an authorized attacker to escalate privileges over a network, potentially compromising entire machine learning workloads hosted in Azure.

    Technical Details

    This vulnerability is categorized under CWE-285: Improper Authorization. The flaw lies in the insufficient enforcement of authorization checks in Azure ML’s compute environments. A user with limited privileges can exploit the weakness to gain elevated access and potentially perform administrative-level actions.

    The vulnerability is rated CRITICAL with a CVSS v3.1 base score of 9.9. The CVSS vector string is:

    • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H/E:U/RL:O/RC:C

    This score reflects the fact that the attack is:

    • Network-accessible (AV:N)
    • Requires low attack complexity (AC:L)
    • Needs only low privileges (PR:L)
    • Requires no user interaction (UI:N)
    • Has a high impact on confidentiality, integrity, and availability (C:H/I:H/A:H)

    Impacted Systems

    All versions of Azure Machine Learning compute environments are potentially affected. The vulnerability is relevant to cloud-hosted scenarios and may not directly impact on-premises solutions, as noted by the tag exclusively-hosted-service.

    Mitigation and Response

    Microsoft has published a security advisory and recommended actions. Although no public exploit is known at the time of publication, organizations using Azure ML are strongly urged to review Microsoft’s guidance:

    MSRC Advisory on CVE-2025-30390

    The advisory indicates that the vulnerability is not currently exploited in the wild, and exploitation is considered unlikely. However, due to the high impact, it remains a priority for remediation.

    Understanding the Risk

    This CVE demonstrates the risks of insufficient access control mechanisms in cloud-based machine learning platforms. In scenarios where compute resources are shared among users or teams, improper isolation and authorization logic can allow lateral movement or privilege abuse, violating the principle of least privilege (PoLP).

    The SSVC (Stakeholder-Specific Vulnerability Categorization) model applied by CISA further reinforces the urgency, classifying the technical impact as total and recommending swift coordination despite no current exploitation.

    Conclusion

    CVE-2025-30390 is a high-priority vulnerability for any organization leveraging Azure ML. The combination of low complexity and high impact makes it critical to address, even in the absence of known exploitation. Security teams should monitor vendor advisories closely and apply any available patches or mitigations.

  • CVE-2025-30387: Critical Path Traversal in Azure AI Document Intelligence Studio

    Overview

    CVE-2025-30387 is a critical vulnerability affecting Microsoft Azure AI Document Intelligence Studio (on-premises). Discovered in versions from 1.0.0 up to (but not including) 1.0.03019.1-official-7241c17a, this flaw allows unauthorized attackers to escalate privileges remotely by exploiting a path traversal weakness.

    What is Path Traversal?

    Path Traversal, categorized under CWE-22, occurs when attackers manipulate file paths in input fields to access files or directories outside the intended scope. This can result in unauthorized access to system files, configuration data, or in this case, elevation of privilege within the affected application.

    Technical Details

    The issue stems from improper validation of user-supplied file paths in the Document Intelligence Studio On-Prem edition. An attacker on the network can exploit this by crafting specially formed paths to escape restricted directories and access sensitive files or execute unauthorized actions.

    This vulnerability has been scored with a CVSS v3.1 base score of 9.8 (Critical) and is described by the following vector:

    • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
    • Attack Vector: Network
    • Attack Complexity: Low
    • Privileges Required: None
    • User Interaction: None
    • Scope: Unchanged
    • Impact: High for Confidentiality, Integrity, and Availability

    SSVC Assessment

    According to the CISA Stakeholder-Specific Vulnerability Categorization (SSVC):

    • No exploitation has been observed yet
    • The attack is automatable
    • The technical impact is considered total

    While not currently exploited, the vulnerability poses significant risk due to its ease of exploitation and potential for full system compromise.

    Mitigation

    Microsoft has addressed the issue in version 1.0.03019.1-official-7241c17a of Azure AI Document Intelligence Studio. Organizations using earlier versions should:

    • Upgrade to the latest patched release immediately
    • Restrict network access to the affected service
    • Review audit logs for any signs of unusual file access or privilege elevation attempts

    References

    This case underlines the importance of thorough input validation and timely patching, especially in on-prem environments that may be less frequently updated.

  • CVE-2025-30392: Critical Privilege Escalation in Microsoft Azure AI Bot Service

    Overview

    CVE-2025-30392 is a critical security vulnerability identified in the Microsoft Azure AI Bot Service. The flaw, publicly disclosed on April 30, 2025, is classified as an Improper Authorization issue (CWE-285), enabling unauthorized attackers to elevate their privileges remotely over a network.

    Understanding Improper Authorization

    CWE-285: Improper Authorization describes a condition where an application does not adequately enforce access controls. This flaw allows attackers to perform actions that should require higher privileges, bypassing security boundaries put in place by developers or administrators.

    In the case of Azure AI Bot Service, this vulnerability means that unauthenticated users could potentially gain access to privileged functions, compromising confidentiality, integrity, and availability of affected systems.

    Technical Details

    The vulnerability carries a CVSS v3.1 score of 9.8 (Critical) with the following vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H. This scoring indicates:

    • Attack Vector: Network
    • Attack Complexity: Low
    • Privileges Required: None
    • User Interaction: None
    • Scope: Unchanged
    • Impact: High for Confidentiality, Integrity, and Availability

    No authentication or user interaction is needed to exploit this vulnerability, making it highly dangerous for cloud-based services like Azure bots.

    SSVC and Exploitation Risk

    According to the Stakeholder-Specific Vulnerability Categorization (SSVC) by CISA:

    • Exploitation: Not observed in the wild
    • Automatable: Yes
    • Technical Impact: Total

    This analysis highlights that, while no exploitation has yet been detected, the ease of automation and severity of impact necessitate urgent attention.

    Mitigation Recommendations

    Organizations leveraging the Azure AI Bot Service should take the following steps:

    • Apply any security patches or configuration changes provided by Microsoft immediately
    • Review bot permissions and API access controls
    • Audit logs for unusual privilege changes or unauthorized access

    References

    This vulnerability is a reminder of the risks associated with cloud-native services and the importance of rigorous access control validation.