Vulnerability-Lookup

GHSA-F572-W4J4-F6R5

Vulnerability from github – Published: 2022-05-24 17:21 – Updated: 2024-04-04 02:54

Details

The password for the safety PLC is the default and thus easy to find (in manuals, etc.). This allows a manipulated program to be uploaded to the safety PLC, effectively disabling the emergency stop in case an object is too close to the robot. Navigation and any other components dependent on the laser scanner are not affected (thus it is hard to detect before something happens) though the laser scanner configuration can also be affected altering further the safety of the device.

Severity

9.8 (Critical)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2020-10276"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-798"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-06-24T05:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "The password for the safety PLC is the default and thus easy to find (in manuals, etc.). This allows a manipulated program to be uploaded to the safety PLC, effectively disabling the emergency stop in case an object is too close to the robot. Navigation and any other components dependent on the laser scanner are not affected (thus it is hard to detect before something happens) though the laser scanner configuration can also be affected altering further the safety of the device.",
  "id": "GHSA-f572-w4j4-f6r5",
  "modified": "2024-04-04T02:54:31Z",
  "published": "2022-05-24T17:21:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-10276"
    },
    {
      "type": "WEB",
      "url": "https://github.com/aliasrobotics/RVD/issues/2558"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2020-10276 (GCVE-0-2020-10276)

Vulnerability from cvelistv5 – Published: 2020-06-24 04:50 – Updated: 2024-09-16 17:08

Title

RVD#2558: Default credentials on SICK PLC allows disabling safety features

Summary

Severity

9.8 (Critical)


                        
                          CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

CWE

CWE-798

Assigner

Alias CNA under the INCIBE root

CNA scorecard – unranked: 0 records in the last 180 days, 10 needed details

References

1 reference

URL	Tags
https://github.com/aliasrobotics/RVD/issues/2558	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Mobile Industrial Robots A/S	MiR100	Affected: v2.8.1.1 and before

Date Public

2020-06-24 00:00

Credits

Bernhard Dieber (Joanneum Research)

Show details on NVD website

JSON

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          "dateUpdated": "2024-08-04T10:58:39.947Z",
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        "references": [
          {
            "tags": [
              "x_refsource_CONFIRM",
              "x_transferred"
            ],
            "url": "https://github.com/aliasrobotics/RVD/issues/2558"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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          "product": "MiR100",
          "vendor": "Mobile Industrial Robots A/S",
          "versions": [
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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.

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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.
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