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VAR-202207-1071

Vulnerability from variot - Updated: 2024-12-21 22:55

This vulnerability allows remote attackers to execute arbitrary code on affected installations of Inductive Automation Ignition 8.1.15 (b2022030114). User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of ZIP files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of SYSTEM. Was ZDI-CAN-17115. (DoS) It may be in a state. Inductive Automation Ignition‌ is a comprehensive platform for industrial automation that provides scalable solutions for monitoring, control, data collection, and analysis. The vulnerability is caused by insecure input validation when processing serialized data

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CVE-2022-35872 (GCVE-0-2022-35872)

Vulnerability from cvelistv5 – Published: 2022-07-25 18:16 – Updated: 2024-08-03 09:44

Summary

Severity

7.8 (High)


                        
                          CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

zdi CNA under the mitre root

CNA scorecard C 73/100 over 121 records in the last 180 days details

References

2 references

URL	Tags
https://support.inductiveautomation.com/hc/en-us/…	x_refsource_MISC
https://www.zerodayinitiative.com/advisories/ZDI-…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Inductive Automation	Ignition	Affected: 8.1.15 (b2022030114)

Credits

Piotr Bazydlo (@chudypb)

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

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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.
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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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