VAR-202207-1223
Vulnerability from variot - Updated: 2024-12-21 22:55This vulnerability allows remote attackers to execute arbitrary code on affected installations of Inductive Automation Ignition 8.1.15 (b2022030114). Authentication is not required to exploit this vulnerability. The specific flaw exists within the authenticateAdSso method. The issue results from the lack of authentication prior to allowing the execution of python code. An attacker can leverage this vulnerability to execute code in the context of SYSTEM. Was ZDI-CAN-17206. Inductive Automation of Ignition There is a vulnerability in the lack of authentication for critical features.Information is obtained, information is tampered with, and service operation is interrupted. (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
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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 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.