VAR-202007-0041
Vulnerability from variot - Updated: 2023-12-18 11:58A vulnerability has been identified in SICAM MMU (All versions < V2.05), SICAM SGU (All versions), SICAM T (All versions < V2.18). The web server could allow Cross-Site Scripting (XSS) attacks if unsuspecting users are tricked into accessing a malicious link. SICAM MMU , SGU , T Exists in a cross-site scripting vulnerability.Information may be obtained and tampered with. SICAM T is a digital measuring sensor that allows the measurement of electricity in non-electrical networks in a single unit. ICAM-MMU (Measurement and Monitoring Unit) is a power monitoring device that allows the measurement of electricity in the power grid in a unit. SICAM SGU (discontinued) is a smart grid remote terminal device with the communication capabilities of power companies and utility companies.
Siemens SICAM MMU, SGU and T have security vulnerabilities
Show details on source website{
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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