Vulnerability-Lookup

CNVD-2016-04594

Vulnerability from cnvd - Published: 2016-07-07

Title

Rexroth Bosch BLADEcontrol-WebVIS SQL注入漏洞

Description

Rexroth Bosch BLADEcontrol是基于Web的HMI系统。 Rexroth Bosch BLADEcontrol在数据库操作中存在SQL注入漏洞，可导致控制数据库服务器或远程代码执行。

Severity

中

Patch Name

Rexroth Bosch BLADEcontrol-WebVIS SQL注入漏洞的补丁

Patch Description

Rexroth Bosch BLADEcontrol是基于Web的HMI系统。 Rexroth Bosch BLADEcontrol在数据库操作中存在SQL注入漏洞，可导致控制数据库服务器或远程代码执行。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

目前厂商已经发布了升级补丁以修复这个安全问题，请到厂商的主页下载： https://urldefense.proofpoint.com/v2/url?u=https-3A__webvis.bladecontrol.de&d=BQIGaQ&c=54IZrppPQZKX9mLzcGdPfFD1hxrcB__aEkJFOKJFd00&r=uwyZa8MpvYuELzcbQo3O8w&m=gdR9Hs8g1XK_6upAeFtiU1GwkZEZm9Fhf6pLZgonQWg&s=cy2NnYaA1p-d8DGzLqy1R9v9veMUdwK3KI6FuvLdW04&e=

Reference

https://ics-cert.us-cert.gov/advisories/ICSA-16-187-01

Impacted products

Name
Rexroth Bosch BLADEcontrol <=3.0.2

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-4507"
    }
  },
  "description": "Rexroth Bosch BLADEcontrol\u662f\u57fa\u4e8eWeb\u7684HMI\u7cfb\u7edf\u3002\r\n\r\nRexroth Bosch BLADEcontrol\u5728\u6570\u636e\u5e93\u64cd\u4f5c\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u53ef\u5bfc\u81f4\u63a7\u5236\u6570\u636e\u5e93\u670d\u52a1\u5668\u6216\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u3002",
  "discovererName": "Maxim Rupp",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://urldefense.proofpoint.com/v2/url?u=https-3A__webvis.bladecontrol.de\u0026d=BQIGaQ\u0026c=54IZrppPQZKX9mLzcGdPfFD1hxrcB__aEkJFOKJFd00\u0026r=uwyZa8MpvYuELzcbQo3O8w\u0026m=gdR9Hs8g1XK_6upAeFtiU1GwkZEZm9Fhf6pLZgonQWg\u0026s=cy2NnYaA1p-d8DGzLqy1R9v9veMUdwK3KI6FuvLdW04\u0026e=",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-04594",
  "openTime": "2016-07-07",
  "patchDescription": "Rexroth Bosch BLADEcontrol\u662f\u57fa\u4e8eWeb\u7684HMI\u7cfb\u7edf\u3002\r\n\r\nRexroth Bosch BLADEcontrol\u5728\u6570\u636e\u5e93\u64cd\u4f5c\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u53ef\u5bfc\u81f4\u63a7\u5236\u6570\u636e\u5e93\u670d\u52a1\u5668\u6216\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Rexroth Bosch BLADEcontrol-WebVIS SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Rexroth Bosch BLADEcontrol \u003c=3.0.2"
  },
  "referenceLink": "https://ics-cert.us-cert.gov/advisories/ICSA-16-187-01",
  "serverity": "\u4e2d",
  "submitTime": "2016-07-06",
  "title": "Rexroth Bosch BLADEcontrol-WebVIS SQL\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2016-4507 (GCVE-0-2016-4507)

Vulnerability from cvelistv5 – Published: 2016-07-06 14:00 – Updated: 2024-08-06 00:32

Summary

SQL injection vulnerability in Rexroth Bosch BLADEcontrol-WebVIS 3.0.2 and earlier allows remote authenticated users to execute arbitrary SQL commands via unspecified vectors.

Severity

No CVSS data available.

CWE

Assigner

icscert icscert root

References

1 reference

URL	Tags
https://ics-cert.us-cert.gov/advisories/ICSA-16-187-01	x_refsource_MISC

Date Public

2016-07-05 00:00

Show details on NVD website

JSON

To clipboard

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          "dateUpdated": "2024-08-06T00:32:25.441Z",
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              "x_transferred"
            ],
            "url": "https://ics-cert.us-cert.gov/advisories/ICSA-16-187-01"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
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      "providerMetadata": {
        "dateUpdated": "2016-07-06T14:57:01.000Z",
        "orgId": "7d14cffa-0d7d-4270-9dc0-52cabd5a23a6",
        "shortName": "icscert"
      },
      "references": [
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          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://ics-cert.us-cert.gov/advisories/ICSA-16-187-01"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "ics-cert@hq.dhs.gov",
          "ID": "CVE-2016-4507",
          "STATE": "PUBLIC"
        },
        "affects": {
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                  "product_data": [
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                      "version": {
                        "version_data": [
                          {
                            "version_value": "n/a"
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        "references": {
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  },
  "cveMetadata": {
    "assignerOrgId": "7d14cffa-0d7d-4270-9dc0-52cabd5a23a6",
    "assignerShortName": "icscert",
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    "dateReserved": "2016-05-05T00:00:00.000Z",
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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.