Vulnerability-Lookup

VAR-202111-1714

Vulnerability from variot - Updated: 2023-12-18 13:12

Patient Information Center iX (PIC iX) Versions C.02 and C.03 receives input or data, but does not validate or incorrectly validates that the input has the properties required to process the data safely and correctly

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CVE-2021-43548 (GCVE-0-2021-43548)

Vulnerability from cvelistv5 – Published: 2021-12-27 18:48 – Updated: 2024-09-16 16:38

Title

Philips Patient Information Center iX (PIC iX) and Efficia CM Series Improper Input Validation

Summary

Severity

6.5 (Medium)


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

CWE

CWE-20 - Improper Input Validation

Assigner

icscert icscert root

References

1 reference

URL	Tags
https://www.cisa.gov/uscert/ics/advisories/icsma-…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Philips	Patient Information Center iX (PIC iX)	Affected: C.02 Affected: C.03

Date Public

2021-11-18 00:00

Credits

Younes Dragoni, Andrea Palanca and Ivan Speziale of Nozomi Networks

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.