Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2025-29905 is a high-severity SQL Injection (CWE-89) vulnerability in Siemens Telecontrol Server Basic. Its CVSS base score is 8.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 46% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2025-29905 affects TeleControl Server Basic in all versions prior to V3.1.2.2. The flaw is an SQL injection reachable via the internally used RestoreFromBackup method, allowing an authenticated remote attacker to bypass authorization controls and interact directly with the application's database.
An attacker who can reach TCP port 8000 on a vulnerable system can leverage the injection to read from and write to the database and execute code under the NT AUTHORITY\NetworkService account. The CVSS 4.0 score of 8.7 reflects network attack vector, low attack complexity, and high impact on confidentiality, integrity, and availability.
The Siemens advisory at cert-portal.siemens.com/productcert/html/ssa-443402.html addresses the issue and provides the fixed version V3.1.2.2.
EPSS for the CVE rose from a low starting value of 0.0008 to a peak of 0.0100, indicating that exploitation interest increased after disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-11384
Vulnerability Data
A vulnerability has been identified in TeleControl Server Basic (All versions < V3.1.2.2). The affected application is vulnerable to SQL injection through the internally used 'RestoreFromBackup' method. This could allow an authenticated remote attacker to bypass authorization controls, to read…
more
from and write to the application's database and execute code with "NT AUTHORITY\NetworkService" permissions. A successful attack requires the attacker to be able to access port 8000 on a system where a vulnerable version of the affected application is executed on. (ZDI-CAN-25923)
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V6.2.5
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.
Input validation directly stops untrusted data from reaching SQL query construction without neutralization.
Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.
System monitoring can identify attempted SQLi exploitation via anomalous queries after the weakness exists.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.
Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.
Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.
Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.
Secure-coding rules and security testing phases mandate the use of parameterized queries or equivalent escaping, preventing the construction of dynamic SQL statements from untrusted input.
Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.