Vulnerability-Lookup

CERTFR-2015-AVI-386

Vulnerability from certfr_avis - Published: 2015-09-10 - Updated: 2015-09-10

Une vulnérabilité a été corrigée dans les produits Huawei WLAN AC. Elle permet à un attaquant de provoquer une atteinte à la confidentialité des données.

Contournement provisoire

Désactiver la fonction mDNS ou configurer une liste de contrôle d'accès pour ignorer les paquets mDNS reçus sur l'interface réseau étendu.

Huawei WLAN AC6005/AC6605/ACU2, versions antérieures à V200R006C00SPC100

Impacted products

	Vendor	Product	Description

References

Title

Publication Time

CVE-2015-6586 (GCVE-0-2015-6586)

Vulnerability from cvelistv5 – Published: 2017-05-23 03:56 – Updated: 2024-08-06 07:22

Summary

The mDNS module in Huawei WLAN AC6005, AC6605, and ACU2 devices with software before V200R006C00SPC100 allows remote attackers to obtain sensitive information by leveraging failure to restrict processing of mDNS unicast queries to the link local network.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root Scorecard

References

2 references

URL	Tags
http://www1.huawei.com/en/security/psirt/security…	x_refsource_CONFIRM
http://www.securityfocus.com/bid/76684	vdb-entryx_refsource_BID

Date Public

2015-09-09 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.

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.

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