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Global ransomware Multiple sectors CRITICAL 26m Global supply_chain Software Development, IT Infrastructure, Technology CRITICAL 1h Global vulnerability,data_breach,general Technology, Industrial Control Systems, Telecommunications HIGH 2h Global general Consumer Electronics and Retail MEDIUM 4h Global supply_chain Software Development and Technology HIGH 4h Global general Artificial Intelligence and Software Development LOW 5h Global general Artificial Intelligence and Cybersecurity MEDIUM 5h Global malware Software Development / Technology HIGH 6h Global vulnerability Information Technology HIGH 6h Global data_breach Water Utilities / Critical Infrastructure HIGH 6h Global ransomware Multiple sectors CRITICAL 26m Global supply_chain Software Development, IT Infrastructure, Technology CRITICAL 1h Global vulnerability,data_breach,general Technology, Industrial Control Systems, Telecommunications HIGH 2h Global general Consumer Electronics and Retail MEDIUM 4h Global supply_chain Software Development and Technology HIGH 4h Global general Artificial Intelligence and Software Development LOW 5h Global general Artificial Intelligence and Cybersecurity MEDIUM 5h Global malware Software Development / Technology HIGH 6h Global vulnerability Information Technology HIGH 6h Global data_breach Water Utilities / Critical Infrastructure HIGH 6h Global ransomware Multiple sectors CRITICAL 26m Global supply_chain Software Development, IT Infrastructure, Technology CRITICAL 1h Global vulnerability,data_breach,general Technology, Industrial Control Systems, Telecommunications HIGH 2h Global general Consumer Electronics and Retail MEDIUM 4h Global supply_chain Software Development and Technology HIGH 4h Global general Artificial Intelligence and Software Development LOW 5h Global general Artificial Intelligence and Cybersecurity MEDIUM 5h Global malware Software Development / Technology HIGH 6h Global vulnerability Information Technology HIGH 6h Global data_breach Water Utilities / Critical Infrastructure HIGH 6h
Vulnerabilities

CVE-2025-9907

Medium
A flaw was found in the Red Hat Ansible Automation Platform, Event-Driven Ansible (EDA) Event Stream API. This vulnerability allows exposure of sensitive client credentials and internal infrastructure
CWE-200 — Weakness Type
Published: Feb 27, 2026  ·  Modified: Mar 5, 2026  ·  Source: NVD
CVSS v3
6.7
🔗 NVD Official
📄 Description (English)

A flaw was found in the Red Hat Ansible Automation Platform, Event-Driven Ansible (EDA) Event Stream API. This vulnerability allows exposure of sensitive client credentials and internal infrastructure headers via the test_headers field when an event stream is in test mode. The possible outcome includes leakage of internal infrastructure details, accidental disclosure of user or system credentials, privilege escalation if high-value tokens are exposed, and persistent sensitive data exposure to all users with read access on the event stream.

🤖 AI Executive Summary

CVE-2025-9907 is a medium-severity information disclosure vulnerability in Red Hat Ansible Automation Platform's Event-Driven Ansible (EDA) that exposes sensitive credentials and infrastructure headers through the test_headers field in test mode. This flaw poses significant risk to organizations using Ansible for infrastructure automation, potentially leading to credential compromise and privilege escalation. The vulnerability affects all users with read access to event streams, making it a persistent exposure risk in multi-tenant environments.

📄 Description (Arabic)

🤖 AI Intelligence Analysis Analyzed: May 10, 2026 17:17
🇸🇦 Saudi Arabia Impact Assessment
Saudi organizations using Red Hat Ansible Automation Platform for infrastructure automation face significant risk, particularly in: (1) Government agencies and NCA-regulated entities managing critical infrastructure through Ansible; (2) ARAMCO and energy sector organizations automating oil/gas operations; (3) Banking and financial institutions (SAMA-regulated) using Ansible for payment system automation; (4) Telecom providers (STC, Mobily) managing network infrastructure; (5) Healthcare organizations automating medical systems. The exposure of infrastructure headers could reveal internal network topology, while credential leakage could enable lateral movement across critical systems. Multi-tenant deployments in Saudi cloud environments amplify risk through cross-tenant visibility.
🏢 Affected Saudi Sectors
Government and Critical Infrastructure Banking and Financial Services Energy and Oil & Gas Telecommunications Healthcare Cloud Service Providers
⚖️ Saudi Risk Score (AI)
7.2
/ 10.0
🔧 Remediation Steps (English)
Immediate Actions:
1. Audit all Event-Driven Ansible (EDA) event streams currently in test mode to identify exposed credentials and infrastructure details
2. Rotate all credentials that may have been exposed through test_headers field
3. Review access logs for event streams to identify who accessed sensitive information
4. Disable test mode on all non-essential event streams immediately

Compensating Controls (until patch available):
1. Implement network segmentation to restrict access to EDA infrastructure
2. Apply principle of least privilege - limit read access to event streams to only necessary personnel
3. Monitor and log all access to event streams with sensitive data
4. Implement API gateway controls to filter or mask sensitive headers in test mode
5. Use secrets management solutions (HashiCorp Vault, Ansible Tower credentials) instead of embedding credentials in event streams

Detection Rules:
1. Monitor for unusual access patterns to EDA event streams in test mode
2. Alert on any export or download of event stream configurations containing credentials
3. Track changes to test_headers field values
4. Monitor for privilege escalation attempts using exposed tokens

Patching Guidance:
1. Subscribe to Red Hat security advisories for EDA patches
2. Establish testing environment to validate patches before production deployment
3. Plan maintenance window for Ansible Automation Platform updates
🔧 خطوات المعالجة (العربية)
الإجراءات الفورية:
1. تدقيق جميع تدفقات أحداث Event-Driven Ansible (EDA) الموجودة حالياً في وضع الاختبار لتحديد بيانات الاعتماد والتفاصيل البنية التحتية المكشوفة
2. تدوير جميع بيانات الاعتماد التي قد تكون قد تعرضت من خلال حقل test_headers
3. مراجعة سجلات الوصول لتدفقات الأحداث لتحديد من وصل إلى المعلومات الحساسة
4. تعطيل وضع الاختبار على جميع تدفقات الأحداث غير الأساسية فوراً

الضوابط التعويضية (حتى توفر التصحيح):
1. تنفيذ تقسيم الشبكة لتقييد الوصول إلى بنية EDA التحتية
2. تطبيق مبدأ أقل امتياز - تقييد حق الوصول للقراءة إلى تدفقات الأحداث للموظفين الضروريين فقط
3. مراقبة وتسجيل جميع الوصول إلى تدفقات الأحداث التي تحتوي على بيانات حساسة
4. تنفيذ ضوابط بوابة API لتصفية أو إخفاء الرؤوس الحساسة في وضع الاختبار
5. استخدام حلول إدارة الأسرار (HashiCorp Vault، بيانات اعتماد Ansible Tower) بدلاً من تضمين بيانات الاعتماد في تدفقات الأحداث

قواعد الكشف:
1. مراقبة أنماط الوصول غير العادية إلى تدفقات أحداث EDA في وضع الاختبار
2. التنبيه على أي تصدير أو تنزيل لتكوينات تدفق الأحداث التي تحتوي على بيانات اعتماد
3. تتبع التغييرات على قيم حقل test_headers
4. مراقبة محاولات تصعيد الامتيازات باستخدام الرموز المكشوفة

إرشادات التصحيح:
1. الاشتراك في تنبيهات أمان Red Hat لتصحيحات EDA
2. إنشاء بيئة اختبار للتحقق من صحة التصحيحات قبل نشرها في الإنتاج
3. التخطيط لنافذة صيانة لتحديثات منصة Ansible Automation
📋 Regulatory Compliance Mapping
🟢 NCA ECC 2024
ECC 2024 - 5.1.1: Access Control and Authentication ECC 2024 - 5.2.1: Cryptography and Data Protection ECC 2024 - 5.3.1: Logging and Monitoring ECC 2024 - 5.4.1: Incident Response
🔵 SAMA CSF
SAMA CSF - Governance: Information Security Governance SAMA CSF - Protect: Access Control and Authentication SAMA CSF - Protect: Data Protection and Privacy SAMA CSF - Detect: Security Monitoring and Logging
🟡 ISO 27001:2022
ISO 27001:2022 - A.5.2: Information Security Policies ISO 27001:2022 - A.8.2: Access Control ISO 27001:2022 - A.8.3: Cryptography ISO 27001:2022 - A.12.4: Logging
🟣 PCI DSS v4.0.1
PCI DSS 4.1: Render PAN unreadable PCI DSS 7.1: Limit access to cardholder data PCI DSS 10.2: Implement automated audit trails
📊 CVSS Score
6.7
/ 10.0 — Medium
📊 CVSS Vector
CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
Attack VectorL — Low / Local
Attack ComplexityL — Low / Local
Privileges RequiredH — High
User InteractionN — None / Network
ScopeU — Unchanged
ConfidentialityH — High
IntegrityH — High
AvailabilityH — High
📋 Quick Facts
Severity Medium
CVSS Score6.7
CWECWE-200
EPSS0.01%
Exploit No
Patch ✗ No
Published 2026-02-27
Source Feed nvd
Views 5
🇸🇦 Saudi Risk Score
7.2
/ 10.0 — Saudi Risk
Priority: HIGH
🏷️ Tags
CWE-200
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