Full Report
Polarion before V2410 contains multiple vulnerabilities that could allow attackers to extract data, conduct cross-site scripting attacks or find out valid usernames. Siemens strongly recommends to update Polarion to V2410 or later versions, not only to fix the documented vulnerabilities, but also to benefit from all the other improvements and fixes. For Polarion V2404 patch releases can be applied.
Analysis Summary
# Vulnerability: Multiple Vulnerabilities in Siemens Polarion Affecting Data Extraction, XSS, and Username Enumeration
## CVE Details
- CVE ID: Multiple (CVE-2024-51444, CVE-2024-51445, CVE-2024-51446, CVE-2024-51447)
- CVSS Score: V3.1 Scores range from 5.3 to 6.5 (Medium severity). V4.0 Scores range from 5.1 to 7.1. The highest reported score is 7.1 (High when using CVSS v4.0 for CVE-2024-51444).
- CWE: CWE-89 (SQL Injection), CWE-611 (XXE), CWE-79 (XSS), CWE-204 (Observable Response Discrepancy)
## Affected Systems
- Products: Siemens Polarion ALM
- Versions: All versions prior to V2410.
- **Polarion V2310:** All versions affected by CVE-2024-51444, CVE-2024-51445, CVE-2024-51446, and CVE-2024-51447.
- **Polarion V2404:** All versions prior to V2404.4 affected by CVE-2024-51444, CVE-2024-51445, and CVE-2024-51446.
- **Polarion V2404:** All versions prior to V2404.2 affected by CVE-2024-51447.
- Configurations: N/A (General application vulnerabilities)
## Vulnerability Description
Multiple vulnerabilities exist across Polarion versions prior to V2410, allowing attackers to perform data extraction, cross-site scripting, and username enumeration:
1. **CVE-2024-51444 (SQL Injection):** Insufficient user input validation in database read queries allows an authenticated remote attacker to bypass authorization and download arbitrary data from the application's database.
2. **CVE-2024-51445 (XXE):** A vulnerability in the docx import feature allows an authenticated remote attacker to read arbitrary data from the application server by leveraging XML External Entity Injection.
3. **CVE-2024-51446 (Stored XSS):** Improper sanitization of uploaded XML files permits an authenticated remote attacker to conduct a stored cross-site scripting attack when the crafted files are viewed by other users.
4. **CVE-2024-51447 (Username Enumeration):** An observable response discrepancy during login username validation permits an unauthenticated remote attacker to determine valid usernames.
## Exploitation
- Status: Not explicitly stated as exploited in the wild, but proof-of-concept details relate to the nature of the flaws (e.g., SQLi, XXE).
- Complexity: Low to Medium, depending on the specific CVE. Exploitation typically requires prior authentication for most critical flaws (SQLi, XXE, XSS), but username enumeration (CVE-2024-51447) is unauthenticated.
- Attack Vector: Network (Remote). Many flaws require *L*ow complexity/privileges (`AC:L`, `PR:L`).
## Impact
- Confidentiality: **High** (Data extraction via SQLi and XXE).
- Integrity: **Low** (Potential for limited data modification via XSS injection).
- Availability: **Low** (Potential denial of service impact from stored XSS, though not explicitly detailed).
## Remediation
### Patches
Siemens strongly recommends updating to **V2410 or later**.
- For **Polarion V2404** versions affected by CVE-2024-51444, CVE-2024-51445, CVE-2024-51446: Update to **V2404.4** or later.
- For **Polarion V2404** versions affected by CVE-2024-51447: Update to **V2404.2** or later.
- For **Polarion V2310**: No specific fix version is reported; update to V2410 recommended.
### Workarounds
- Follow the General Security Recommendations provided by Siemens ProductCERT, which primarily focus on network protection.
- Implement appropriate mechanisms to protect network access to Polarion instances.
- Configure the environment according to Siemens' operational guidelines for Industrial Security.
## Detection
- Detection indicators would depend on monitoring application logs for signs of SQL injection attempts (unusual characters/syntax in inputs), XXE payloads in imported DOCX files, or stored XSS payloads in database entries.
- For CVE-2024-51447, detection involves monitoring high-frequency, sequential login attempts where the response time or error code is analyzed for patterns indicating user existence.
- Utilize web application firewalls (WAFs) configured to detect payload patterns associated with SQLi and XSS attacks against the application endpoints.
## References
- Vendor Advisory Link (General): https:\\/\\/cert-portal.siemens.com\\/productcert\\/html\\/ssa-162255.html
- Vendor Operational Guidelines Link (Defanged): https:\\/\\/www.siemens.com\\/cert\\/operational-guidelines-industrial-security
- Siemens Industrial Security Portal: https:\\/\\/www.siemens.com\\/industrialsecurity