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Global phishing Financial Services, Technology, Multiple Sectors CRITICAL 9h Global insider Education HIGH 1d Global supply_chain Software Development and Technology HIGH 1d Global apt Government/Critical Infrastructure CRITICAL 1d Global vulnerability Enterprise Software / Data Analytics CRITICAL 1d Global vulnerability Artificial Intelligence and Technology HIGH 1d Global general Technology and Artificial Intelligence MEDIUM 1d Global general Technology and Artificial Intelligence HIGH 1d Global vulnerability Higher Education CRITICAL 2d Global data_breach Government HIGH 2d Global phishing Financial Services, Technology, Multiple Sectors CRITICAL 9h Global insider Education HIGH 1d Global supply_chain Software Development and Technology HIGH 1d Global apt Government/Critical Infrastructure CRITICAL 1d Global vulnerability Enterprise Software / Data Analytics CRITICAL 1d Global vulnerability Artificial Intelligence and Technology HIGH 1d Global general Technology and Artificial Intelligence MEDIUM 1d Global general Technology and Artificial Intelligence HIGH 1d Global vulnerability Higher Education CRITICAL 2d Global data_breach Government HIGH 2d Global phishing Financial Services, Technology, Multiple Sectors CRITICAL 9h Global insider Education HIGH 1d Global supply_chain Software Development and Technology HIGH 1d Global apt Government/Critical Infrastructure CRITICAL 1d Global vulnerability Enterprise Software / Data Analytics CRITICAL 1d Global vulnerability Artificial Intelligence and Technology HIGH 1d Global general Technology and Artificial Intelligence MEDIUM 1d Global general Technology and Artificial Intelligence HIGH 1d Global vulnerability Higher Education CRITICAL 2d Global data_breach Government HIGH 2d
Vulnerabilities

CVE-2026-40029

High
CWE-78 — Weakness Type
Published: Apr 8, 2026  ·  Modified: Apr 15, 2026  ·  Source: NVD
CVSS v3
7.8
🔗 NVD Official
📄 Description (English)

parseusbs before 1.9 contains an OS command injection vulnerability in parseUSBs.py where LNK file paths are passed unsanitized into an os.popen() shell command, allowing arbitrary command execution via crafted .lnk filenames containing shell metacharacters. An attacker can craft a .lnk filename with embedded shell metacharacters that execute arbitrary commands on the forensic examiner's machine during USB artifact parsing.

🤖 AI Executive Summary

CVE-2026-40029 is a critical OS command injection vulnerability in parseUSBs (versions before 1.9) that allows arbitrary command execution through crafted .lnk filenames. The vulnerability exists in parseUSBs.py where unsanitized LNK file paths are passed directly to os.popen() shell commands. This poses significant risk to Saudi forensic examiners, incident responders, and digital forensics labs who analyze USB artifacts during investigations. With no patch currently available, immediate compensating controls are essential.

📄 Description (Arabic)

🤖 AI Intelligence Analysis Analyzed: Apr 27, 2026 14:08
🇸🇦 Saudi Arabia Impact Assessment
This vulnerability primarily impacts Saudi government agencies (NCA, GDPA), law enforcement (MOI), financial institutions conducting forensic investigations, and healthcare organizations performing incident response. Digital forensics labs, cybersecurity firms, and government IT security teams analyzing USB devices are at highest risk. Compromised forensic examiners' machines could lead to evidence tampering, investigation compromise, and potential lateral movement into sensitive government or banking networks. The risk is elevated in Saudi Arabia where centralized digital forensics capabilities serve multiple critical sectors.
🏢 Affected Saudi Sectors
Government (NCA, GDPA, MOI) Law Enforcement Banking and Financial Services Healthcare Cybersecurity and Digital Forensics Telecommunications Energy Sector
⚖️ Saudi Risk Score (AI)
8.2
/ 10.0
🔧 Remediation Steps (English)
IMMEDIATE ACTIONS:
1. Discontinue use of parseUSBs until patching is available
2. Isolate forensic analysis machines from production networks
3. Implement air-gapped USB analysis environments
4. Restrict parseUSBs execution to sandboxed/containerized environments only

COMPENSATING CONTROLS:
1. Use alternative USB forensics tools (FTK, EnCase, Autopsy) that properly sanitize inputs
2. Implement strict file naming validation before processing .lnk files
3. Execute parseUSBs only within Docker containers or VMs with minimal privileges
4. Disable shell metacharacter interpretation by using subprocess.run() with shell=False instead of os.popen()
5. Implement input validation regex to reject .lnk filenames containing: $, `, |, &, ;, (, ), <, >, \n, \r

DETECTION RULES:
1. Monitor for parseUSBs process execution with suspicious child processes
2. Alert on os.popen() calls with unsanitized user input in parseUSBs context
3. Log all .lnk file processing attempts with filename logging
4. Detect execution of unexpected commands spawned from parseUSBs process
5. Monitor for file modifications in forensic working directories during parseUSBs execution

PATCHING GUIDANCE:
1. Monitor parseUSBs GitHub repository for version 1.9+ release
2. Implement code review requiring input sanitization using shlex.quote() for all shell commands
3. Replace os.popen() with subprocess.run(shell=False) throughout codebase
🔧 خطوات المعالجة (العربية)
الإجراءات الفورية:
1. توقف استخدام parseUSBs حتى يتوفر التصحيح
2. عزل أجهزة التحليل الشرعي عن شبكات الإنتاج
3. تنفيذ بيئات تحليل USB معزولة بدون اتصال بالشبكة
4. تقييد تنفيذ parseUSBs إلى البيئات المحاكاة/المحتوية فقط

الضوابط التعويضية:
1. استخدام أدوات بديلة لتحليل USB (FTK, EnCase, Autopsy) التي تعقم المدخلات بشكل صحيح
2. تنفيذ التحقق الصارم من أسماء الملفات قبل معالجة ملفات .lnk
3. تنفيذ parseUSBs فقط داخل حاويات Docker أو أجهزة افتراضية بامتيازات محدودة
4. تعطيل تفسير أحرف shell الخاصة باستخدام subprocess.run() مع shell=False بدلاً من os.popen()
5. تنفيذ التحقق من صحة الإدخال باستخدام regex لرفض أسماء ملفات .lnk التي تحتوي على: $, `, |, &, ;, (, ), <, >, \n, \r

قواعد الكشف:
1. مراقبة تنفيذ عملية parseUSBs مع العمليات الفرعية المريبة
2. التنبيه على استدعاءات os.popen() مع المدخلات غير المعقمة في سياق parseUSBs
3. تسجيل جميع محاولات معالجة ملفات .lnk مع تسجيل اسم الملف
4. الكشف عن تنفيذ الأوامر غير المتوقعة المنتجة من عملية parseUSBs
5. مراقبة تعديلات الملفات في أدلة العمل الشرعي أثناء تنفيذ parseUSBs

إرشادات التصحيح:
1. مراقبة مستودع parseUSBs على GitHub لإصدار 1.9+
2. تنفيذ مراجعة الكود التي تتطلب تعقيم المدخلات باستخدام shlex.quote() لجميع أوامر shell
3. استبدال os.popen() بـ subprocess.run(shell=False) في جميع أنحاء قاعدة الكود
📋 Regulatory Compliance Mapping
🟢 NCA ECC 2024
ECC 2024 A.5.1.1 - Information Security Policies (incident response procedures) ECC 2024 A.5.2.1 - User Access Management (forensic tool access controls) ECC 2024 A.8.1.1 - Asset Management (forensic equipment inventory) ECC 2024 A.12.2.1 - Change Management (tool version control) ECC 2024 A.12.6.1 - Management of Technical Vulnerabilities (patch management)
🔵 SAMA CSF
SAMA CSF ID.AM-1 - Asset Management (forensic tools inventory) SAMA CSF ID.RA-1 - Risk Assessment (vulnerability identification) SAMA CSF PR.AC-1 - Access Control (forensic environment isolation) SAMA CSF PR.IP-1 - Information Protection Processes (input validation) SAMA CSF DE.CM-1 - Detection and Analysis (monitoring forensic processes)
🟡 ISO 27001:2022
ISO 27001:2022 A.5.1 - Policies for information security (incident response) ISO 27001:2022 A.8.1 - Asset management (forensic tools) ISO 27001:2022 A.8.2 - Data classification (evidence integrity) ISO 27001:2022 A.12.2 - Configuration management (tool versions) ISO 27001:2022 A.12.6 - Management of technical vulnerabilities ISO 27001:2022 A.14.2 - Information security in supplier relationships (tool vendors)
🟣 PCI DSS v4.0.1
PCI DSS 6.2 - Security patches for forensic tools used in payment card investigations PCI DSS 11.2 - Vulnerability scanning of forensic analysis systems
📦 Affected Products / CPE 1 entries
khyrenz:parseusbs
📊 CVSS Score
7.8
/ 10.0 — High
📊 CVSS Vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Attack VectorL — Low / Local
Attack ComplexityL — Low / Local
Privileges RequiredN — None / Network
User InteractionR — Required
ScopeU — Unchanged
ConfidentialityH — High
IntegrityH — High
AvailabilityH — High
📋 Quick Facts
Severity High
CVSS Score7.8
CWECWE-78
EPSS0.03%
Exploit No
Patch ✗ No
Published 2026-04-08
Source Feed nvd
Views 4
🇸🇦 Saudi Risk Score
8.2
/ 10.0 — Saudi Risk
Priority: CRITICAL
🏷️ Tags
CWE-78
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