Vulnerability-Lookup

VAR-201802-0443

Vulnerability from variot - Updated: 2024-11-23 22:12

Huawei Secospace USG6600 V500R001C30SPC100 has an Out-of-Bounds memory access vulnerability due to insufficient verification. An authenticated local attacker can make processing crash by executing some commands. The attacker can exploit this vulnerability to cause a denial of service. Huawei Secospace USG6600 Contains a buffer error vulnerability.Service operation interruption (DoS) There is a possibility of being put into a state. Huawei Secospace USG6600 is a firewall product of Huawei in China. There is a security vulnerability in Huawei Secospace USG6600 V500R001C30SPC100 version

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CVE-2017-17163 (GCVE-0-2017-17163)

Vulnerability from cvelistv5 – Published: 2018-02-15 16:00 – Updated: 2024-08-05 20:43

Summary

Severity

No CVSS data available.

CWE

Out-of-Bounds memory access

Assigner

huawei mitre root

References

1 reference

URL	Tags
http://www.huawei.com/en/psirt/security-advisorie…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Huawei Technologies Co., Ltd.	Secospace USG6600	Affected: V500R001C30SPC100

Date Public

2017-12-13 00:00

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.

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.

Action not permitted

VAR-201802-0443

CVE-2017-17163 (GCVE-0-2017-17163)

Tags

Sightings

Nomenclature

Related by attack behaviour