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VAR-201912-0142

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

All versions up to V4.01.01.02 of ZTE ZXCLOUD GoldenData VAP product have encryption problems vulnerability. Attackers could sniff unencrypted account and password through the network for front-end system access. ZTE ZXCLOUD GoldenData VAP The product contains a vulnerability related to information disclosure from the cache.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. ZTE ZXCLOUD GoldenData VAP is a set of big data solutions of China ZTE Corporation (ZTE). An attacker could exploit this vulnerability to obtain sensitive information by sniffing the network

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CVE-2019-3431 (GCVE-0-2019-3431)

Vulnerability from cvelistv5 – Published: 2019-12-23 18:10 – Updated: 2024-08-04 19:12

Summary

Severity

No CVSS data available.

CWE

encryption problems

Assigner

zte CNA under the mitre root

CNA scorecard C 69/100 over 34 records in the last 180 days details

References

1 reference

URL	Tags
http://support.zte.com.cn/support/news/LoopholeIn…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
ZTE	ZXCLOUD GoldenData VAP	Affected: All versions up to V4.01.01.02

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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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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