Vulnerability-Lookup

VAR-202106-1191

Vulnerability from variot - Updated: 2023-12-18 11:18

The vulnerability could expose cleartext credentials from AVEVA InTouch Runtime 2020 R2 and all prior versions (WindowViewer) if an authorized, privileged user creates a diagnostic memory dump of the process and saves it to a non-protected location. AVEVA Software Provided by the company InTouch Is a vulnerability in which sensitive information in memory is stored in clear text. Pillow is a Python-based image processing library. There is currently no information about this vulnerability, please feel free to follow CNNVD or manufacturer announcements

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CVE-2021-32942 (GCVE-0-2021-32942)

Vulnerability from cvelistv5 – Published: 2021-06-09 16:06 – Updated: 2024-09-17 03:17

Summary

Severity

6.6 (Medium)


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

CWE

CWE-316 - CLEARTEXT STORAGE OF SENSITIVE INFORMATION IN MEMORY CWE-316

Assigner

icscert icscert root

References

2 references

URL	Tags
https://us-cert.cisa.gov/ics/advisories/icsa-21-159-03	x_refsource_MISC
https://www.aveva.com/en/support/cyber-security-u…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
AVEVA	InTouch	Affected: unspecified , ≤ 2020 R2 (custom)

Date Public

2021-06-08 00:00

Credits

Ilya Karpov, Evgeniy Druzhinin, and Konstantin Kondratev of Rostelecom-Solar reported this vulnerability to AVEVA.

Show details on NVD website

JSON

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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.