Vulnerability-Lookup

VAR-201701-0423

Vulnerability from variot - Updated: 2025-04-20 23:27

Huawei Oceanstor 5800 before V300R002C10SPC100 allows remote attackers to cause a denial of service (CPU consumption) via a large number of crafted HTTP packets. HuaweiOceanStor5800 is a storage product for China's high-end storage applications. A denial of service vulnerability exists in the Huawei OceanStor 5800V3V300R002C10 release. Huawei OceanStor 5800 is prone to a remote denial-of-service vulnerability. An attacker can exploit this issue to cause a high CPU consumption, resulting in a denial-of-service condition

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CVE-2016-5822 (GCVE-0-2016-5822)

Vulnerability from cvelistv5 – Published: 2017-01-27 20:00 – Updated: 2024-08-06 01:15

Summary

Huawei Oceanstor 5800 before V300R002C10SPC100 allows remote attackers to cause a denial of service (CPU consumption) via a large number of crafted HTTP packets.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
http://www.securityfocus.com/bid/95854	vdb-entryx_refsource_BID
http://www.huawei.com/en/psirt/security-advisorie…	x_refsource_CONFIRM

Date Public

2016-06-22 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.

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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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VAR-201701-0423

CVE-2016-5822 (GCVE-0-2016-5822)

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Sightings

Nomenclature

Related by attack behaviour