Vulnerability-Lookup

VAR-202206-0841

Vulnerability from variot - Updated: 2023-12-18 11:50

A vulnerability has been identified in SINEMA Remote Connect Server (All versions < V3.1). The affected application contains a file upload server that is vulnerable to command injection. An attacker could use this to achieve arbitrary code execution. SINEMA Remote Connect is a remote network management platform for easy management of tunnel connections (VPN) between headquarters, service technicians and installed machines or plants

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CVE-2022-32262 (GCVE-0-2022-32262)

Vulnerability from cvelistv5 – Published: 2022-06-14 09:22 – Updated: 2025-04-21 13:52

Summary

Severity

8.8 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H/E:P/RL:O/RC:C

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-18 15:23 UTC

CWE

CWE-77 - Improper Neutralization of Special Elements used in a Command ('Command Injection')

Assigner

siemens icscert root

References

2 references

URL	Tags
https://cert-portal.siemens.com/productcert/pdf/s…	x_refsource_MISC
https://cert-portal.siemens.com/productcert/html/…

Impacted products

1 product

Vendor	Product	Version
Siemens	SINEMA Remote Connect Server	Affected: 0 , < V3.1 (custom)

Show details on NVD website

JSON

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            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H/E:P/RL:O/RC:C",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-77",
              "description": "CWE-77: Improper Neutralization of Special Elements used in a Command (\u0027Command Injection\u0027)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2024-07-09T12:04:20.622Z",
        "orgId": "cec7a2ec-15b4-4faf-bd53-b40f371f3a77",
        "shortName": "siemens"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-484086.pdf"
        },
        {
          "url": "https://cert-portal.siemens.com/productcert/html/ssa-484086.html"
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "cec7a2ec-15b4-4faf-bd53-b40f371f3a77",
    "assignerShortName": "siemens",
    "cveId": "CVE-2022-32262",
    "datePublished": "2022-06-14T09:22:17.000Z",
    "dateReserved": "2022-06-02T00:00:00.000Z",
    "dateUpdated": "2025-04-21T13:52:37.640Z",
    "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.

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.