Vulnerability-Lookup

VAR-201912-0142

Vulnerability from variot - Updated: 2023-12-18 13:28

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 mitre root

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

To clipboard

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        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "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."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "encryption problems",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
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        "dateUpdated": "2019-12-23T18:10:06.000Z",
        "orgId": "6786b568-6808-4982-b61f-398b0d9679eb",
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      },
      "references": [
        {
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "http://support.zte.com.cn/support/news/LoopholeInfoDetail.aspx?newsId=1012023"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "psirt@zte.com.cn",
          "ID": "CVE-2019-3431",
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        },
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        },
        "problemtype": {
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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.