CVE-2026-0598: Unverified Ownership in Red Hat Red Hat Ansible Automation Platform 2
CVE-2026-0598 is a medium severity vulnerability in Red Hat Ansible Automation Platform 2 affecting the Ansible Lightspeed API conversation endpoints. The flaw arises from improper verification of conversation ownership, allowing an authenticated user to access or manipulate AI chat conversations belonging to other users. This can lead to unauthorized exposure of sensitive data and influence over AI-generated outputs. Exploitation requires valid credentials and has a higher attack complexity. There is no indication of known exploits in the wild. The vulnerability impacts confidentiality and integrity but not availability. European organizations using this platform for automation and AI chat interactions should prioritize patching or mitigating this issue to prevent data leakage and unauthorized manipulation. Countries with significant Red Hat Ansible usage and critical infrastructure automation are most at risk. Mitigation includes strict access control audits, monitoring API usage, and applying vendor patches once available.
AI Analysis
Technical Summary
CVE-2026-0598 identifies a security vulnerability in the Ansible Lightspeed API conversation endpoints within Red Hat Ansible Automation Platform 2. The root cause is the failure of the API to verify that a conversation identifier requested by an authenticated user actually belongs to that user. This lack of ownership verification enables an attacker who has valid credentials to access or manipulate conversations owned by other users. These conversations involve AI chat interactions, which may contain sensitive or proprietary information and influence AI-generated outputs. The vulnerability impacts confidentiality by exposing conversation data and integrity by allowing unauthorized manipulation of AI responses. The CVSS 3.1 score is 4.2 (medium), reflecting network attack vector, high attack complexity, low privileges required, no user interaction, and limited impact on confidentiality and integrity without affecting availability. No known exploits have been reported in the wild as of the publication date. The vulnerability affects organizations using Red Hat Ansible Automation Platform 2, particularly those leveraging AI chat features for automation workflows. The absence of affected versions and patch links suggests that remediation may be pending or in development. This vulnerability highlights the importance of strict access control and ownership verification in APIs handling sensitive AI interactions.
Potential Impact
For European organizations, this vulnerability poses a risk of unauthorized data exposure and manipulation within automation workflows that utilize AI chat features in Red Hat Ansible Automation Platform 2. Confidential information exchanged or generated during AI conversations could be leaked to unauthorized users, potentially leading to intellectual property theft, compliance violations (e.g., GDPR concerns), and operational disruptions if AI outputs are manipulated. Organizations in sectors such as finance, telecommunications, energy, and government, which rely heavily on automation and AI-driven processes, may face increased risk. The medium severity rating indicates that while exploitation is not trivial, the potential impact on confidentiality and integrity is significant enough to warrant attention. The lack of known exploits reduces immediate risk but does not eliminate the threat, especially as attackers may develop exploits over time. Failure to address this vulnerability could undermine trust in AI automation platforms and expose organizations to insider threats or credential compromise scenarios.
Mitigation Recommendations
European organizations should implement the following specific mitigations: 1) Conduct thorough audits of API access logs to detect anomalous access patterns to AI chat conversations, focusing on cross-user access attempts. 2) Enforce strict role-based access controls (RBAC) and least privilege principles for users with access to the Ansible Lightspeed API, ensuring only authorized personnel can interact with conversation endpoints. 3) Monitor and restrict credential usage, employing multi-factor authentication (MFA) to reduce the risk of credential compromise. 4) Segregate AI chat conversation data to minimize cross-user data exposure risks. 5) Engage with Red Hat support to obtain patches or updates addressing this vulnerability as soon as they become available, and prioritize timely deployment. 6) Implement network segmentation and API gateway controls to limit exposure of the vulnerable API endpoints to trusted networks and users only. 7) Educate users and administrators about the risks of sharing credentials and the importance of secure API usage. These measures go beyond generic advice by focusing on access control, monitoring, and proactive patch management tailored to the specific vulnerability context.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Sweden
CVE-2026-0598: Unverified Ownership in Red Hat Red Hat Ansible Automation Platform 2
Description
CVE-2026-0598 is a medium severity vulnerability in Red Hat Ansible Automation Platform 2 affecting the Ansible Lightspeed API conversation endpoints. The flaw arises from improper verification of conversation ownership, allowing an authenticated user to access or manipulate AI chat conversations belonging to other users. This can lead to unauthorized exposure of sensitive data and influence over AI-generated outputs. Exploitation requires valid credentials and has a higher attack complexity. There is no indication of known exploits in the wild. The vulnerability impacts confidentiality and integrity but not availability. European organizations using this platform for automation and AI chat interactions should prioritize patching or mitigating this issue to prevent data leakage and unauthorized manipulation. Countries with significant Red Hat Ansible usage and critical infrastructure automation are most at risk. Mitigation includes strict access control audits, monitoring API usage, and applying vendor patches once available.
AI-Powered Analysis
Technical Analysis
CVE-2026-0598 identifies a security vulnerability in the Ansible Lightspeed API conversation endpoints within Red Hat Ansible Automation Platform 2. The root cause is the failure of the API to verify that a conversation identifier requested by an authenticated user actually belongs to that user. This lack of ownership verification enables an attacker who has valid credentials to access or manipulate conversations owned by other users. These conversations involve AI chat interactions, which may contain sensitive or proprietary information and influence AI-generated outputs. The vulnerability impacts confidentiality by exposing conversation data and integrity by allowing unauthorized manipulation of AI responses. The CVSS 3.1 score is 4.2 (medium), reflecting network attack vector, high attack complexity, low privileges required, no user interaction, and limited impact on confidentiality and integrity without affecting availability. No known exploits have been reported in the wild as of the publication date. The vulnerability affects organizations using Red Hat Ansible Automation Platform 2, particularly those leveraging AI chat features for automation workflows. The absence of affected versions and patch links suggests that remediation may be pending or in development. This vulnerability highlights the importance of strict access control and ownership verification in APIs handling sensitive AI interactions.
Potential Impact
For European organizations, this vulnerability poses a risk of unauthorized data exposure and manipulation within automation workflows that utilize AI chat features in Red Hat Ansible Automation Platform 2. Confidential information exchanged or generated during AI conversations could be leaked to unauthorized users, potentially leading to intellectual property theft, compliance violations (e.g., GDPR concerns), and operational disruptions if AI outputs are manipulated. Organizations in sectors such as finance, telecommunications, energy, and government, which rely heavily on automation and AI-driven processes, may face increased risk. The medium severity rating indicates that while exploitation is not trivial, the potential impact on confidentiality and integrity is significant enough to warrant attention. The lack of known exploits reduces immediate risk but does not eliminate the threat, especially as attackers may develop exploits over time. Failure to address this vulnerability could undermine trust in AI automation platforms and expose organizations to insider threats or credential compromise scenarios.
Mitigation Recommendations
European organizations should implement the following specific mitigations: 1) Conduct thorough audits of API access logs to detect anomalous access patterns to AI chat conversations, focusing on cross-user access attempts. 2) Enforce strict role-based access controls (RBAC) and least privilege principles for users with access to the Ansible Lightspeed API, ensuring only authorized personnel can interact with conversation endpoints. 3) Monitor and restrict credential usage, employing multi-factor authentication (MFA) to reduce the risk of credential compromise. 4) Segregate AI chat conversation data to minimize cross-user data exposure risks. 5) Engage with Red Hat support to obtain patches or updates addressing this vulnerability as soon as they become available, and prioritize timely deployment. 6) Implement network segmentation and API gateway controls to limit exposure of the vulnerable API endpoints to trusted networks and users only. 7) Educate users and administrators about the risks of sharing credentials and the importance of secure API usage. These measures go beyond generic advice by focusing on access control, monitoring, and proactive patch management tailored to the specific vulnerability context.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- redhat
- Date Reserved
- 2026-01-05T07:35:27.017Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 698586ecf9fa50a62fdfc3bf
Added to database: 2/6/2026, 6:15:08 AM
Last enriched: 2/6/2026, 6:29:34 AM
Last updated: 2/6/2026, 7:32:51 AM
Views: 5
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