CVE-2024-41107
CWE-290 in The CloudStack SAML authentication (disabled by default) does not enforce signature check
Executive Summary
CVE-2024-41107 is a high severity vulnerability affecting appsec. It is classified as CWE-290. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.
Precogs AI Insight
"CloudStack's SAML authentication plugin does not enforce signature validation by default. Attackers forge SAML assertions to bypass authentication and impersonate any user, including administrators. Precogs API Security Engine detects missing cryptographic verification on identity assertions."
What is this vulnerability?
CVE-2024-41107 is categorized as a high CWE-290 flaw with a CVSS base score of 8.1. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.
The CloudStack SAML authentication (disabled by default) does not enforce signature check. In CloudStack environments where SAML authentication is enabled, an attacker that initiates CloudStack SAML single sign-on authentication can bypass SAML authentication by submitting a spoofed SAML response with no signature and known or guessed username and other user details of a SAML-enabled CloudStack user-account. In such environments, this can result in a complete compromise of the resources owned and/or accessible by a SAML enabled user-account.
Affected users are recommended to disable the SAML authentication plugin by setting the "saml2.enabled" global setting to "false", or upgrade to version 4.18.2.2, 4.19.1.0 or later, which addresses this issue.
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
| Metric | Value |
|---|---|
| CVSS Base Score | 8.1 (HIGH) |
| Vector String | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H |
| Published | July 19, 2024 |
| Last Modified | March 19, 2025 |
| Related CWEs | CWE-290 |
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-2024-41107
- Apply Vendor Patches: Upgrade affected components to their latest, non-vulnerable versions immediately.
- Implement Input Validation: Ensure all user-supplied data is validated, sanitized, and type-checked before processing.
- Deploy Runtime Protection: Use Precogs continuous monitoring to detect exploitation attempts in real time.
- Audit Dependencies: Review and update all third-party libraries and transitive dependencies.
Defending with Precogs AI
CloudStack's SAML authentication plugin does not enforce signature validation by default. Attackers forge SAML assertions to bypass authentication and impersonate any user, including administrators. Precogs API Security Engine detects missing cryptographic verification on identity assertions.
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.
Vulnerability Code Signature
Attack Data Flow
| Stage | Detail |
|---|---|
| Source | Untrusted User Input |
| Vector | Input flows through the application logic without sanitization |
| Sink | Execution or Rendering Sink |
| Impact | Application 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