Vulnerability-Lookup

VAR-202304-2125

Vulnerability from variot - Updated: 2023-12-18 12:14

mySCADA myPRO versions 8.26.0 and prior has parameters which an authenticated user could exploit to inject arbitrary operating system commands. mySCADA Technologies of myPRO for, OS A command injection vulnerability exists.Information is obtained, information is tampered with, and service operation is interrupted. (DoS) It may be in a state

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CVE-2023-28400 (GCVE-0-2023-28400)

Vulnerability from cvelistv5 – Published: 2023-04-27 22:18 – Updated: 2025-01-17 17:04

Title

CVE-2023-28400

Summary

mySCADA myPRO versions 8.26.0 and prior has parameters which an authenticated user could exploit to inject arbitrary operating system commands.

Severity

8.8 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-01-17 17:02 UTC

CWE

CWE-78 OS Command Injection

Assigner

icscert icscert root

References

1 reference

URL	Tags
https://www.cisa.gov/news-events/ics-advisories/i…

Impacted products

1 product

Vendor	Product	Version
mySCADA Technologies	mySCADA myPRO	Affected: 0 , ≤ 8.26.0 (custom)

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.

Detection rules are retrieved from Rulezet.

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.