CVE-2025-50029: CWE-862 Missing Authorization in Ashish AI Tools
Missing Authorization vulnerability in Ashish AI Tools allows Exploiting Incorrectly Configured Access Control Security Levels. This issue affects AI Tools: from n/a through 4.0.7.
AI Analysis
Technical Summary
CVE-2025-50029 is a Missing Authorization vulnerability (CWE-862) found in Ashish AI Tools, affecting versions up to 4.0.7. This vulnerability arises from incorrectly configured access control security levels, allowing an attacker with limited privileges (PR:L - privileges required: low) to exploit the system remotely (AV:N - attack vector: network) without requiring user interaction (UI:N). The vulnerability does not impact confidentiality or integrity but causes a complete loss of availability (A:H), meaning attackers can disrupt or deny access to the AI tools' services. The vulnerability is rated with a CVSS 3.1 base score of 6.5, categorized as medium severity. No patches or known exploits in the wild have been reported as of the publication date (August 14, 2025). The root cause is missing authorization checks, which means that certain operations or resources are accessible without proper verification of user permissions, potentially allowing unauthorized users to perform actions that should be restricted. Given the nature of AI tools, disruption of availability can impact business operations, automated workflows, and dependent services that rely on these AI capabilities.
Potential Impact
For European organizations utilizing Ashish AI Tools, this vulnerability poses a risk primarily to service availability. Disruption could lead to downtime in AI-driven processes such as data analysis, automation, customer interaction, or decision support systems. This can result in operational delays, financial losses, and reputational damage, especially for sectors relying heavily on AI tools like finance, healthcare, manufacturing, and public services. Since the vulnerability does not compromise confidentiality or integrity, data breaches or manipulation are less likely. However, denial of service or service degradation could indirectly affect compliance with regulations such as GDPR if service interruptions impact data processing timelines or availability commitments. Organizations with limited internal privileges assigned to users may be at higher risk if attackers can escalate or misuse these privileges to trigger availability issues.
Mitigation Recommendations
To mitigate CVE-2025-50029, European organizations should: 1) Conduct a thorough access control audit of Ashish AI Tools deployments to identify and rectify missing authorization checks, ensuring that all sensitive operations require appropriate privilege verification. 2) Implement network-level protections such as firewalls and intrusion detection systems to restrict access to the AI tools only to trusted users and systems. 3) Apply the principle of least privilege rigorously, limiting user permissions to the minimum necessary to reduce the attack surface. 4) Monitor system logs and network traffic for unusual access patterns or denial-of-service indicators related to AI tools. 5) Engage with the vendor Ashish for updates or patches and apply them promptly once available. 6) Consider deploying rate limiting or resource usage controls to prevent abuse that could lead to availability disruption. 7) Develop and test incident response plans specifically addressing availability attacks on AI infrastructure.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Italy, Spain
CVE-2025-50029: CWE-862 Missing Authorization in Ashish AI Tools
Description
Missing Authorization vulnerability in Ashish AI Tools allows Exploiting Incorrectly Configured Access Control Security Levels. This issue affects AI Tools: from n/a through 4.0.7.
AI-Powered Analysis
Technical Analysis
CVE-2025-50029 is a Missing Authorization vulnerability (CWE-862) found in Ashish AI Tools, affecting versions up to 4.0.7. This vulnerability arises from incorrectly configured access control security levels, allowing an attacker with limited privileges (PR:L - privileges required: low) to exploit the system remotely (AV:N - attack vector: network) without requiring user interaction (UI:N). The vulnerability does not impact confidentiality or integrity but causes a complete loss of availability (A:H), meaning attackers can disrupt or deny access to the AI tools' services. The vulnerability is rated with a CVSS 3.1 base score of 6.5, categorized as medium severity. No patches or known exploits in the wild have been reported as of the publication date (August 14, 2025). The root cause is missing authorization checks, which means that certain operations or resources are accessible without proper verification of user permissions, potentially allowing unauthorized users to perform actions that should be restricted. Given the nature of AI tools, disruption of availability can impact business operations, automated workflows, and dependent services that rely on these AI capabilities.
Potential Impact
For European organizations utilizing Ashish AI Tools, this vulnerability poses a risk primarily to service availability. Disruption could lead to downtime in AI-driven processes such as data analysis, automation, customer interaction, or decision support systems. This can result in operational delays, financial losses, and reputational damage, especially for sectors relying heavily on AI tools like finance, healthcare, manufacturing, and public services. Since the vulnerability does not compromise confidentiality or integrity, data breaches or manipulation are less likely. However, denial of service or service degradation could indirectly affect compliance with regulations such as GDPR if service interruptions impact data processing timelines or availability commitments. Organizations with limited internal privileges assigned to users may be at higher risk if attackers can escalate or misuse these privileges to trigger availability issues.
Mitigation Recommendations
To mitigate CVE-2025-50029, European organizations should: 1) Conduct a thorough access control audit of Ashish AI Tools deployments to identify and rectify missing authorization checks, ensuring that all sensitive operations require appropriate privilege verification. 2) Implement network-level protections such as firewalls and intrusion detection systems to restrict access to the AI tools only to trusted users and systems. 3) Apply the principle of least privilege rigorously, limiting user permissions to the minimum necessary to reduce the attack surface. 4) Monitor system logs and network traffic for unusual access patterns or denial-of-service indicators related to AI tools. 5) Engage with the vendor Ashish for updates or patches and apply them promptly once available. 6) Consider deploying rate limiting or resource usage controls to prevent abuse that could lead to availability disruption. 7) Develop and test incident response plans specifically addressing availability attacks on AI infrastructure.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- Patchstack
- Date Reserved
- 2025-06-11T16:08:32.805Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 689dbee4ad5a09ad0059e630
Added to database: 8/14/2025, 10:48:04 AM
Last enriched: 8/14/2025, 11:49:32 AM
Last updated: 10/16/2025, 7:06:56 PM
Views: 13
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