Vulnerability-Lookup

VAR-202308-3159

Vulnerability from variot - Updated: 2023-12-14 22:52

A vulnerability in the Connect Mobility Router component of Mitel MiVoice Connect through 9.6.2304.102 could allow an authenticated attacker with elevated privileges and internal network access to conduct a command argument injection due to insufficient parameter sanitization. A successful exploit could allow an attacker to access network information and to generate excessive network traffic. Mitel Networks Corporation of MiVoice Connect Exists in a vulnerability in inserting or modifying arguments.Information is obtained and service operation is interrupted (DoS) It may be in a state

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CVE-2023-39288 (GCVE-0-2023-39288)

Vulnerability from cvelistv5 – Published: 2023-08-25 00:00 – Updated: 2024-10-02 18:10

Summary

Severity

No CVSS data available.

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-10-02 18:10 UTC

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://www.mitel.com/support/security-advisories
https://www.mitel.com/support/security-advisories…

Show details on NVD website

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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.