Vulnerability-Lookup

VAR-201906-0441

Vulnerability from variot - Updated: 2024-11-23 22:16

Logitech Unifying devices allow live decryption if the pairing of a keyboard to a receiver is sniffed. Logitech Unifying The device contains an information disclosure vulnerability.Information may be obtained. Logitech Unifying is a USB signal receiver from Logitech, Switzerland. This vulnerability stems from configuration errors in network systems or products during operation. An unauthorized attacker could exploit the vulnerability to obtain sensitive information of the affected components

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CVE-2019-13052 (GCVE-0-2019-13052)

Vulnerability from cvelistv5 – Published: 2019-06-29 19:05 – Updated: 2024-08-04 23:41

Summary

Logitech Unifying devices allow live decryption if the pairing of a keyboard to a receiver is sniffed.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2325 records in the last 180 days details

References

1 reference

URL	Tags
https://www.youtube.com/watch?v=GRJ7i2J_Y80	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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                            "version_value": "n/a"
                          }
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                      }
                    }
                  ]
                },
                "vendor_name": "n/a"
              }
            ]
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        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "eng",
              "value": "Logitech Unifying devices allow live decryption if the pairing of a keyboard to a receiver is sniffed."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
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                  "lang": "eng",
                  "value": "n/a"
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              ]
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        },
        "references": {
          "reference_data": [
            {
              "name": "https://www.youtube.com/watch?v=GRJ7i2J_Y80",
              "refsource": "MISC",
              "url": "https://www.youtube.com/watch?v=GRJ7i2J_Y80"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2019-13052",
    "datePublished": "2019-06-29T19:05:31.000Z",
    "dateReserved": "2019-06-29T00:00:00.000Z",
    "dateUpdated": "2024-08-04T23:41:10.054Z",
    "state": "PUBLISHED"
  },
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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

Order JSON

Publication & reservation Sightings KEV catalogs Other timestamps

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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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