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VAR-202202-0239

Vulnerability from variot - Updated: 2023-12-18 12:15

A CWE-754: Improper Check for Unusual or Exceptional Conditions vulnerability exists that could cause Denial of Service against the Geo SCADA server when receiving a malformed HTTP request. Affected Product: ClearSCADA (All Versions), EcoStruxure Geo SCADA Expert 2019 (All Versions), EcoStruxure Geo SCADA Expert 2020 (All Versions)

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CVE-2022-24321 (GCVE-0-2022-24321)

Vulnerability from cvelistv5 – Published: 2022-02-09 22:05 – Updated: 2024-08-03 04:07

Summary

Severity

No CVSS data available.

CWE

CWE-754 - Improper Check for Unusual or Exceptional Conditions

Assigner

schneider CNA under the mitre root

CNA scorecard C 65/100 over 23 records in the last 180 days details

References

1 reference

URL	Tags
https://download.schneider-electric.com/files?p_D…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	ClearSCADA (All Versions), EcoStruxure Geo SCADA Expert 2019 (All Versions), EcoStruxure Geo SCADA Expert 2020 (All Versions)	Affected: ClearSCADA (All Versions), EcoStruxure Geo SCADA Expert 2019 (All Versions), EcoStruxure Geo SCADA Expert 2020 (All Versions)

Show details on NVD website

JSON

To clipboard

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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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.

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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