CVE-2022-40179
Published: 11 October 2022
Summary
CVE-2022-40179 is a high-severity CSRF (CWE-352) vulnerability in Siemens Desigo Pxm30-1 Firmware. Its CVSS base score is 8.1 (High).
Operationally, ranked at the 33.1th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-43482
Vulnerability details
A vulnerability has been identified in Desigo PXM30-1 (All versions < V02.20.126.11-41), Desigo PXM30.E (All versions < V02.20.126.11-41), Desigo PXM40-1 (All versions < V02.20.126.11-41), Desigo PXM40.E (All versions < V02.20.126.11-41), Desigo PXM50-1 (All versions < V02.20.126.11-41), Desigo PXM50.E (All versions…
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< V02.20.126.11-41), PXG3.W100-1 (All versions < V02.20.126.11-37), PXG3.W100-2 (All versions < V02.20.126.11-41), PXG3.W200-1 (All versions < V02.20.126.11-37), PXG3.W200-2 (All versions < V02.20.126.11-41). A Cross-Site Request Forgery exists in endpoints of the “Operation” web application that interpret and execute Axon language queries, due to the missing validation of anti-CSRF tokens or other origin checks. By convincing a victim to click on a malicious link or visit a specifically crafted webpage while logged-in to the device web application, a remote unauthenticated attacker can execute arbitrary Axon queries against the device.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Awareness training educates users on avoiding untrusted links and actions that can be exploited via CSRF.
Requiring user re-entry of credentials for sensitive actions prevents automated forgery of requests without active user participation.
Security testing regimens explicitly include checks for missing or ineffective anti-CSRF protections in web applications.
Detects anomalous request patterns consistent with cross-site request forgery.