CVE-2024-46986

Injection in Camaleon CMS is a dynamic and advanced content management system based on Ruby on Rails

Verified by Precogs Threat Research
Last Updated: Apr 17, 2025
Base Score
9.9CRITICAL

Executive Summary

CVE-2024-46986 is a critical severity vulnerability affecting appsec. It is classified as CWE-74. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"Camaleon CMS contains a remote code execution vulnerability. Authenticated attackers exploit a Server-Side Template Injection (SSTI) or insecure file upload flaw to execute arbitrary Ruby code on the server. Precogs Application Security Module maps untrusted template inputs to code evaluation sinks."

Exploit Probability (EPSS)
High (92.3%)
Public POC
Available
Exploit Probability
High (84%)
Public POC
Available
Affected Assets
appsecCWE-74

What is this vulnerability?

CVE-2024-46986 is categorized as a critical Injection flaw with a CVSS base score of 9.9. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

Camaleon CMS is a dynamic and advanced content management system based on Ruby on Rails. An arbitrary file write vulnerability accessible via the upload method of the MediaController allows authenticated users to write arbitrary files to any location on the web server Camaleon CMS is running on (depending on the permissions of the underlying filesystem). E.g. This can lead to a delayed remote code execution in case an attacker is able to write a Ruby file into the config/initializers/ subfolder of the Ruby on Rails application. This issue has been addressed in release version 2.8.2. Users are advised to upgrade. There are no known workarounds for this vulnerability.

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

MetricValue
CVSS Base Score9.9 (CRITICAL)
Vector StringCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
PublishedSeptember 18, 2024
Last ModifiedApril 17, 2025
Related CWEsCWE-74, CWE-22

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-2024-46986

  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

Camaleon CMS contains a remote code execution vulnerability. Authenticated attackers exploit a Server-Side Template Injection (SSTI) or insecure file upload flaw to execute arbitrary Ruby code on the server. Precogs Application Security Module maps untrusted template inputs to code evaluation sinks.

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.

Start scanning with Precogs →

Vulnerability Code Signature

Attack Data Flow

StageDetail
SourceUntrusted User Input
VectorInput flows through the application logic without sanitization
SinkExecution or Rendering Sink
ImpactApplication compromise, Logic Bypass, Data Exfiltration

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

Related Vulnerabilitiesvia CWE-74

Is your system affected?

Precogs AI detects CVE-2024-46986 in compiled binaries, LLMs, and application layers — even without source code access.