Vulnerability-Lookup

VAR-201905-0791

Vulnerability from variot - Updated: 2023-12-18 13:47

DoBox_CstmBox_Info.model.htm on Kyocera TASKalfa 4002i and 6002i devices allows remote attackers to read the documents of arbitrary users via a modified HTTP request. Kyocera TASKalfa 4002i and 6002i The device contains an information disclosure vulnerability.Information may be obtained. Kyocera TASKalfa 4002i and Kyocera TASKalfa 6002i are both a multi-function printer from Kyocera Corporation of Japan. This vulnerability stems from configuration errors in network systems or products during operation. An unauthorized attacker could exploit the vulnerability to obtain sensitive information of the affected components

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CVE-2018-16656 (GCVE-0-2018-16656)

Vulnerability from cvelistv5 – Published: 2019-05-14 19:58 – Updated: 2024-08-05 10:32

Summary

DoBox_CstmBox_Info.model.htm on Kyocera TASKalfa 4002i and 6002i devices allows remote attackers to read the documents of arbitrary users via a modified HTTP request.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://mars-cheng.github.io/blog/2019/CVE-2018-16656	x_refsource_MISC

Date Public

2019-01-31 00:00

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.