CVE-2024-48914

What is this vulnerability?

CVE-2024-48914 is categorized as a critical Improper Input Validation flaw with a CVSS base score of 9.1. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

Vendure is an open-source headless commerce platform. Prior to versions 3.0.5 and 2.3.3, a vulnerability in Vendure's asset server plugin allows an attacker to craft a request which is able to traverse the server file system and retrieve the contents of arbitrary files, including sensitive data such as configuration files, environment variables, and other critical data stored on the server. In the same code path is an additional vector for crashing the server via a malformed URI. Patches are available in versions 3.0.5 and 2.3.3. Some workarounds are also available. One may use object storage rather than the local file system, e.g. MinIO or S3, or define middleware which detects and blocks requests with urls containing /../.

This architectural defect enables adversaries to bypass intended security controls, directly manipulating the application's execution state or data layer. Immediate strategic intervention is required.

Risk Assessment

Impact on Systems

✅ Data Exfiltration: Attackers can extract sensitive data from backend databases, configuration files, or internal services.

✅ Authentication Bypass: Exploiting this flaw may allow unauthorized access to protected resources and administrative interfaces.

✅ Lateral Movement: Once initial access is gained, attackers can pivot to internal systems and escalate privileges.

How to Fix and Mitigate CVE-2024-48914

1. Apply Vendor Patches: Upgrade affected components to their latest, non-vulnerable versions immediately.
2. Implement Input Validation: Ensure all user-supplied data is validated, sanitized, and type-checked before processing.
3. Deploy Runtime Protection: Use Precogs continuous monitoring to detect exploitation attempts in real time.
4. Audit Dependencies: Review and update all third-party libraries and transitive dependencies.

Defending with Precogs AI

Vendure headless commerce platform contains an unauthenticated server-side request forgery (SSRF) vulnerability. Attackers exploit image optimization endpoints to scan internal networks or access cloud metadata services. Precogs Application Security Module audits URL redirection boundaries.

Use Precogs to continuously scan your codebase, binaries, APIs, and infrastructure for this vulnerability class and related attack patterns. Our AI-powered detection engine combines static analysis with threat intelligence to identify exploitable weaknesses before attackers do.

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Vulnerability Code Signature

Attack Data Flow

Vulnerable Code Pattern

# ❌ VULNERABLE: Unsanitized Input Flow
def process_request(request):
    user_input = request.GET.get('data')
    # Taint sink: processing untrusted data
    execute_logic(user_input)
    return {"status": "success"}

Secure Code Pattern

# ✅ SECURE: Input Validation & Sanitization
def process_request(request):
    user_input = request.GET.get('data')
    
    # Sanitized boundary check
    if not is_valid_format(user_input):
        raise ValueError("Invalid input format")
        
    sanitized_data = sanitize(user_input)
    execute_logic(sanitized_data)
    return {"status": "success"}

How Precogs Detects This

Precogs AI Analysis Engine maps untrusted input directly to execution sinks to catch complex application security vulnerabilities.\n