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Vulnerabilities

CVE-2025-59614

Medium
CWE-787 — Weakness Type
Published: Jun 1, 2026  ·  Modified: Jun 4, 2026  ·  Source: NVD
CVSS v3
6.7
🔗 NVD Official
📄 Description (English)

Memory Corruption when sending random number generator command with insufficient output buffer size.

🤖 AI Executive Summary

CVE-2025-59614 is a memory corruption vulnerability triggered by insufficient output buffer allocation when processing random number generator commands. With a CVSS score of 6.7, this medium-severity issue could lead to information disclosure or denial of service. The lack of available patches and unspecified affected products necessitate immediate investigation and defensive measures across cryptographic and RNG-dependent systems.

📄 Description (Arabic)

🤖 AI Intelligence Analysis Analyzed: Jun 2, 2026 02:18
🇸🇦 Saudi Arabia Impact Assessment
This vulnerability poses significant risk to Saudi banking sector (SAMA-regulated institutions) and government agencies (NCA oversight) that rely on cryptographic operations and RNG for secure transactions and authentication. Energy sector (ARAMCO, SEC) systems utilizing RNG for SCADA/ICS security are at elevated risk. Telecom operators (STC, Mobily) implementing RNG in network security protocols could experience service disruption. Healthcare institutions using RNG for patient data encryption face potential information disclosure. The unspecified nature of affected products complicates risk assessment but suggests broad exposure across cryptographic libraries and hardware security modules.
🏢 Affected Saudi Sectors
Banking and Financial Services Government and Public Administration Energy and Utilities Healthcare Telecommunications Critical Infrastructure
⚖️ Saudi Risk Score (AI)
6.8
/ 10.0
🔧 Remediation Steps (English)
Immediate Actions:
1. Identify all systems and applications utilizing random number generator functionality, particularly cryptographic libraries and HSMs
2. Audit RNG command implementations for buffer size validation and bounds checking
3. Review logs for suspicious RNG command patterns or memory access anomalies
4. Implement network segmentation to isolate RNG-dependent systems

Compensating Controls (pending patch availability):
1. Deploy input validation filters to reject RNG commands with suspicious parameters
2. Implement strict buffer size enforcement at application layer before RNG calls
3. Enable memory protection mechanisms (ASLR, DEP/NX) on affected systems
4. Monitor for memory corruption indicators: segmentation faults, unexpected process termination
5. Establish rate limiting on RNG command submissions

Detection Rules:
1. Alert on RNG commands with output buffer sizes below expected minimums
2. Monitor for memory access violations in RNG processing routines
3. Track unusual error codes or exceptions from cryptographic operations
4. Implement canary-based memory corruption detection

Patching Strategy:
1. Contact vendor immediately for patch timeline and interim guidance
2. Prepare isolated test environment for patch validation
3. Develop rollback procedures before production deployment
🔧 خطوات المعالجة (العربية)
الإجراءات الفورية:
1. تحديد جميع الأنظمة والتطبيقات التي تستخدم وظائف مولد الأرقام العشوائية، خاصة المكتبات التشفيرية ووحدات الأمان الصلبة
2. تدقيق تطبيقات أوامر RNG للتحقق من حجم المخزن المؤقت والتحقق من الحدود
3. مراجعة السجلات للبحث عن أنماط أوامر RNG المريبة أو شذوذ الوصول إلى الذاكرة
4. تنفيذ تقسيم الشبكة لعزل الأنظمة المعتمدة على RNG

الضوابط التعويضية (في انتظار توفر التصحيح):
1. نشر مرشحات التحقق من الإدخال لرفض أوامر RNG ذات المعاملات المريبة
2. تنفيذ فرض صارم لحجم المخزن المؤقت على مستوى التطبيق قبل استدعاءات RNG
3. تفعيل آليات حماية الذاكرة (ASLR, DEP/NX) على الأنظمة المتأثرة
4. مراقبة مؤشرات تلف الذاكرة: أخطاء التقسيم، إنهاء العملية غير المتوقع
5. تطبيق تحديد معدل على تقديمات أوامر RNG

قواعد الكشف:
1. تنبيهات على أوامر RNG بأحجام مخزن مؤقت أقل من الحد الأدنى المتوقع
2. مراقبة انتهاكات الوصول إلى الذاكرة في روتينات معالجة RNG
3. تتبع رموز الأخطاء غير المعتادة أو الاستثناءات من العمليات التشفيرية
4. تنفيذ كشف تلف الذاكرة القائم على الكناري

استراتيجية التصحيح:
1. الاتصال بالمورد فوراً لجدول التصحيح والإرشادات المؤقتة
2. تحضير بيئة اختبار معزولة للتحقق من صحة التصحيح
3. تطوير إجراءات التراجع قبل النشر في الإنتاج
📋 Regulatory Compliance Mapping
🟢 NCA ECC 2024
5.2.1 - Cryptographic Controls and Key Management 5.3.1 - System and Communication Protection 5.4.2 - Monitoring and Logging of Security Events
🔵 SAMA CSF
ID.SC-4 - Supply chain processes and practices PR.DS-1 - Data security and protection DE.CM-1 - Detection and analysis of anomalies
🟡 ISO 27001:2022
A.10.1.1 - Cryptographic controls A.12.2.1 - Change management procedures A.12.4.1 - Event logging and monitoring
🟣 PCI DSS v4.0.1
Requirement 2.2.4 - Configure system security parameters Requirement 6.2 - Ensure security patches are installed Requirement 10.2 - Implement automated audit trails
📦 Affected Products / CPE 21 entries
qualcomm:cologne_firmware:-
qualcomm:fastconnect_6900_firmware:-
qualcomm:fastconnect_7800_firmware:-
qualcomm:iqx5121_firmware:-
qualcomm:iqx7181_firmware:-
qualcomm:qca0000_firmware:-
qualcomm:sc8380xp_firmware:-
qualcomm:wcd9378c_firmware:-
qualcomm:wcd9380_firmware:-
qualcomm:wcd9385_firmware:-
qualcomm:wsa8840_firmware:-
qualcomm:wsa8845_firmware:-
qualcomm:wsa8845h_firmware:-
qualcomm:x2000077_firmware:-
qualcomm:x2000086_firmware:-
qualcomm:x2000090_firmware:-
qualcomm:x2000092_firmware:-
qualcomm:x2000094_firmware:-
qualcomm:xg101002_firmware:-
qualcomm:xg101032_firmware:-
qualcomm:xg101039_firmware:-
📊 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-787
EPSS0.01%
Exploit No
Patch ✗ No
Published 2026-06-01
Source Feed nvd
Views 1
🇸🇦 Saudi Risk Score
6.8
/ 10.0 — Saudi Risk
Priority: HIGH
🏷️ Tags
CWE-787
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