VAR-201207-0138
Vulnerability from variot - Updated: 2023-12-18 13:20Siemens SIMATIC S7-400 PN CPU devices with firmware 5.x allow remote attackers to cause a denial of service (defect-mode transition and service outage) via (1) malformed HTTP traffic or (2) malformed IP packets. Siemens SIMATIC is an automation software in a single engineering environment. There is a security hole in SIEMENS SIMATIC S7-400. Since the Ethernet port on the SIMATIC S7-400 V5 receives a malformed IP or HTTP message, the device enters the Defect mode. The SIMATIC S7-400 V5 CPU defect mode locks the unit, so process control processing cannot be performed and the attacker can use it. This vulnerability is a denial of service attack. SIEMENS SIMATIC S7-400 is prone to multiple denial-of-service vulnerabilities. Remote attackers may exploit this issue to cause denial-of-service conditions, denying service to legitimate users. Vulnerabilities exist in Siemens SIMATIC S7-400 PN CPU firmware device version 5.x
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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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