Vulnerability-Lookup

CNVD-2017-10786

Vulnerability from cnvd - Published: 2017-06-22

Title

IPFire远程执行代码漏洞

Description

IPFire是一款免费的基于Linux的防火墙。 IPFire存在远程执行代码漏洞，攻击者可以通过该漏洞执行远程命令。

Severity

高

Formal description

目前没有详细解决方案提供： http://www.ipfire/org/

Reference

https://www.exploit-db.com/exploits/42149/

Impacted products

Name
IPFire IPFire 2.19

Show details on source website

JSON

To clipboard

{
  "bids": {
    "bid": {
      "bidNumber": "99173"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-9757"
    }
  },
  "description": "IPFire\u662f\u4e00\u6b3e\u514d\u8d39\u7684\u57fa\u4e8eLinux\u7684\u9632\u706b\u5899\u3002 \r\n\r\nIPFire\u5b58\u5728\u8fdc\u7a0b\u6267\u884c\u4ee3\u7801\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u901a\u8fc7\u8be5\u6f0f\u6d1e\u6267\u884c\u8fdc\u7a0b\u547d\u4ee4\u3002",
  "discovererName": "0x09AL",
  "formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttp://www.ipfire/org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-10786",
  "openTime": "2017-06-22",
  "products": {
    "product": "IPFire IPFire 2.19"
  },
  "referenceLink": "https://www.exploit-db.com/exploits/42149/",
  "serverity": "\u9ad8",
  "submitTime": "2017-06-14",
  "title": "IPFire\u8fdc\u7a0b\u6267\u884c\u4ee3\u7801\u6f0f\u6d1e"
}

CVE-2017-9757 (GCVE-0-2017-9757)

Vulnerability from cvelistv5 – Published: 2017-06-19 13:00 – Updated: 2024-08-05 17:18

Summary

IPFire 2.19 has a Remote Command Injection vulnerability in ids.cgi via the OINKCODE parameter, which is mishandled by a shell. This can be exploited directly by authenticated users, or through CSRF.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://www.exploit-db.com/exploits/42149/	exploitx_refsource_EXPLOIT-DB
https://twitter.com/0x09AL/status/873860385652256768	x_refsource_MISC
http://www.securityfocus.com/bid/99173	vdb-entryx_refsource_BID

Date Public

2017-06-19 00:00

Show details on NVD website

JSON

To clipboard

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          "dateUpdated": "2024-08-05T17:18:01.566Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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          },
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            ],
            "url": "https://twitter.com/0x09AL/status/873860385652256768"
          },
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            "name": "99173",
            "tags": [
              "vdb-entry",
              "x_refsource_BID",
              "x_transferred"
            ],
            "url": "http://www.securityfocus.com/bid/99173"
          }
        ],
        "title": "CVE Program Container"
      }
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        }
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              "type": "text"
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      "providerMetadata": {
        "dateUpdated": "2017-06-22T09:57:01.000Z",
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        },
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          ],
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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.