Vulnerability-Lookup

VAR-201802-0536

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

Huawei UMA V200R001C00 has a SQL injection vulnerability in the operation and maintenance module. An attacker logs in to the system as a common user and sends crafted HTTP requests that contain malicious SQL statements to the affected system. Due to a lack of input validation on HTTP requests that contain user-supplied input, successful exploitation may allow the attacker to execute arbitrary SQL queries. Huawei UMA is a set of IT core resource operation and maintenance management and security audit platform of China Huawei (Huawei). Through the centralized management and control of accounts, authentication, authorization and audit of various IT resources, the platform can meet the needs of users for IT operation and maintenance management and IT internal control and external audit

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CVE-2017-15329 (GCVE-0-2017-15329)

Vulnerability from cvelistv5 – Published: 2018-02-15 16:00 – Updated: 2024-08-05 19:50

Summary

Severity

No CVSS data available.

CWE

SQL Injection

Assigner

huawei CNA under the mitre root

CNA scorecard D 57/100 over 60 records in the last 180 days details

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.	UMA	Affected: V200R001C00

Date Public

2017-11-16 00:00

Show details on NVD website

JSON

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              "value": "Huawei UMA V200R001C00 has a SQL injection vulnerability in the operation and maintenance module. An attacker logs in to the system as a common user and sends crafted HTTP requests that contain malicious SQL statements to the affected system. Due to a lack of input validation on HTTP requests that contain user-supplied input, successful exploitation may allow the attacker to execute arbitrary SQL queries."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "SQL Injection"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "http://www.huawei.com/en/psirt/security-advisories/2017/huawei-sa-20171116-01-uma-en",
              "refsource": "CONFIRM",
              "url": "http://www.huawei.com/en/psirt/security-advisories/2017/huawei-sa-20171116-01-uma-en"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "25ac1063-e409-4190-8079-24548c77ea2e",
    "assignerShortName": "huawei",
    "cveId": "CVE-2017-15329",
    "datePublished": "2018-02-15T16:00:00.000Z",
    "dateReserved": "2017-10-14T00:00:00.000Z",
    "dateUpdated": "2024-08-05T19:50:16.490Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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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