📄 Description (English)
A security vulnerability has been detected in Aider-AI Aider 0.86.3. This affects the function requests.get of the file api_docs.py of the component AWS EC2 Metadata Endpoint. The manipulation leads to server-side request forgery. The attack is possible to be carried out remotely. The exploit has been disclosed publicly and may be used. It is suggested to install a patch to address this issue. The pull request to fix this issue awaits acceptance.
🤖 AI Executive Summary
CVE-2026-10177 is a Server-Side Request Forgery (SSRF) vulnerability in Aider-AI Aider 0.86.3 affecting the AWS EC2 Metadata Endpoint handler in api_docs.py. With a CVSS score of 6.3 (medium), this vulnerability allows remote attackers to manipulate requests.get() function calls, potentially exposing sensitive AWS metadata and credentials. No patch is currently available, though a fix is pending acceptance, making immediate compensating controls essential for affected organizations.
📄 Description (Arabic)
🤖 AI Intelligence Analysis Analyzed: May 31, 2026 14:48
🇸🇦 Saudi Arabia Impact Assessment
Saudi organizations using Aider-AI for cloud infrastructure automation, particularly those leveraging AWS services, face significant risk. Most critical impact on: (1) Banking sector (SAMA-regulated institutions) using AWS for transaction processing and data storage; (2) Government agencies (NCA oversight) utilizing cloud-based services for citizen data; (3) Energy sector (ARAMCO and subsidiaries) managing critical infrastructure via cloud platforms; (4) Telecom providers (STC, Mobily) operating cloud-based services. SSRF exploitation could expose AWS credentials, internal metadata, and facilitate lateral movement to compromise sensitive systems. Organizations in Riyadh and Jeddah tech hubs are particularly exposed.
🏢 Affected Saudi Sectors
Banking and Financial Services
Government and Public Administration
Energy and Utilities
Telecommunications
Healthcare
Cloud Service Providers
Technology and Software Development
🎯 MITRE ATT&CK Techniques
⚖️ Saudi Risk Score (AI)
7.2
/ 10.0
🔧 Remediation Steps (English)
IMMEDIATE ACTIONS:
1. Inventory all Aider-AI 0.86.3 deployments across your infrastructure
2. Isolate affected systems from production networks if possible
3. Implement network segmentation to restrict outbound requests from Aider-AI instances
4. Monitor AWS CloudTrail for suspicious metadata endpoint access patterns
COMPENSATING CONTROLS (until patch available):
1. Deploy WAF rules to block requests to 169.254.169.254 (AWS metadata endpoint) from Aider-AI processes
2. Implement strict egress filtering - whitelist only required external endpoints
3. Use IAM roles with minimal permissions (least privilege) for Aider-AI service accounts
4. Enable VPC endpoint policies to restrict metadata access
5. Rotate all AWS credentials and access keys immediately
6. Implement request validation and sanitization in api_docs.py if source code accessible
DETECTION RULES:
1. Monitor for HTTP requests to 169.254.169.254 from Aider-AI processes
2. Alert on unusual outbound connections from api_docs.py component
3. Track AWS credential exposure in logs and CloudTrail
4. Monitor for multiple failed authentication attempts following metadata access
PATCHING STRATEGY:
1. Monitor Aider-AI GitHub repository for patch release
2. Prepare test environment for version upgrade immediately upon patch availability
3. Plan emergency patching window within 48 hours of patch release
🔧 خطوات المعالجة (العربية)
الإجراءات الفورية:
1. قم بحصر جميع نشرات Aider-AI 0.86.3 عبر البنية التحتية الخاصة بك
2. عزل الأنظمة المتأثرة عن شبكات الإنتاج إن أمكن
3. تطبيق تقسيم الشبكة لتقييد الطلبات الصادرة من نوى Aider-AI
4. مراقبة AWS CloudTrail للكشف عن أنماط الوصول المريبة لنقطة نهاية البيانات الوصفية
الضوابط التعويضية (حتى توفر التصحيح):
1. نشر قواعد WAF لحظر الطلبات إلى 169.254.169.254 من عمليات Aider-AI
2. تطبيق تصفية الخروج الصارمة - إدراج بيضاء للنقاط النهائية الخارجية المطلوبة فقط
3. استخدام أدوار IAM بأذونات دنيا (مبدأ أقل امتياز) لحسابات خدمة Aider-AI
4. تطبيق سياسات نقطة نهاية VPC لتقييد الوصول إلى البيانات الوصفية
5. تدوير جميع بيانات اعتماد AWS ومفاتيح الوصول فوراً
6. تطبيق التحقق من الطلب والتطهير في api_docs.py إذا كان الكود المصدري متاحاً
قواعد الكشف:
1. مراقبة طلبات HTTP إلى 169.254.169.254 من عمليات Aider-AI
2. تنبيه الاتصالات الصادرة غير العادية من مكون api_docs.py
3. تتبع تعريض بيانات اعتماد AWS في السجلات و CloudTrail
4. مراقبة محاولات المصادقة الفاشلة المتعددة بعد الوصول إلى البيانات الوصفية
استراتيجية التصحيح:
1. مراقبة مستودع Aider-AI GitHub لإصدار التصحيح
2. تحضير بيئة الاختبار للترقية الفورية عند توفر التصحيح
3. التخطيط لنافذة التصحيح الطارئة خلال 48 ساعة من إصدار التصحيح
📋 Regulatory Compliance Mapping
🟢 NCA ECC 2024
ECC 2024 A.14.2.1 - Information security requirements for supplier relationships
ECC 2024 A.14.2.5 - Addressing information security in supplier agreements
ECC 2024 A.5.23 - Access control and authentication mechanisms
ECC 2024 A.8.3.2 - Segregation of networks and systems
🔵 SAMA CSF
SAMA CSF ID.AM-2 - Software, platforms, and applications inventory
SAMA CSF PR.AC-1 - Access control policy and procedures
SAMA CSF PR.AC-3 - Access enforcement and least privilege
SAMA CSF DE.CM-1 - Network monitoring and anomaly detection
SAMA CSF RS.MI-2 - Incident containment and eradication
🟡 ISO 27001:2022
ISO 27001:2022 A.5.15 - Access control
ISO 27001:2022 A.5.16 - Authentication
ISO 27001:2022 A.5.23 - Cryptography
ISO 27001:2022 A.8.1 - User endpoint devices
ISO 27001:2022 A.8.2 - Privileged access rights
🟣 PCI DSS v4.0.1
PCI DSS 1.3 - Firewall configuration standards
PCI DSS 2.1 - Default security parameters
PCI DSS 6.2 - Security patches and updates
PCI DSS 10.3 - Logging and monitoring
🔗 References & Sources 7
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https://github.com/Aider-AI/aider/
cna@vuldb.com
https://github.com/Aider-AI/aider/issues/5075
cna@vuldb.com
https://github.com/Aider-AI/aider/pull/5137
cna@vuldb.com
https://vuldb.com/cve/CVE-2026-10177
cna@vuldb.com
https://vuldb.com/submit/819911
cna@vuldb.com
https://vuldb.com/vuln/367458
cna@vuldb.com
https://vuldb.com/vuln/367458/cti
cna@vuldb.com