Vulnerability-Lookup

GHSA-CWRG-6RC5-QFV7

Vulnerability from github – Published: 2024-12-19 21:31 – Updated: 2025-03-13 18:32

Details

A third-party vulnerability exists in the Rockwell Automation Arena® that could allow a threat actor to write beyond the boundaries of allocated memory in a DOE file. If exploited, a threat actor could leverage this vulnerability to execute arbitrary code. To exploit this vulnerability, a legitimate user must execute the malicious code crafted by the threat actor.

Severity

7.3 (High)


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

8.5 (High)


                  
                    CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Show details on source website

JSON

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  "affected": [],
  "aliases": [
    "CVE-2024-11157"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
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    "github_reviewed_at": null,
    "nvd_published_at": "2024-12-19T21:15:07Z",
    "severity": "HIGH"
  },
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  "id": "GHSA-cwrg-6rc5-qfv7",
  "modified": "2025-03-13T18:32:16Z",
  "published": "2024-12-19T21:31:11Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-11157"
    },
    {
      "type": "WEB",
      "url": "https://www.rockwellautomation.com/en-us/trust-center/security-advisories/advisory.SD1713.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
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      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

CVE-2024-11157 (GCVE-0-2024-11157)

Vulnerability from cvelistv5 – Published: 2024-12-19 20:48 – Updated: 2025-03-13 15:37

Title

Rockwell Automation Third Party Vulnerability in Arena

Summary

Severity

8.5 (High)


                        
                          CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-12-24 16:40 UTC

CWE

CWE-787 - Out-of-bounds Write

Assigner

Rockwell icscert root

References

1 reference

URL	Tags
https://www.rockwellautomation.com/en-us/trust-ce…

Impacted products

1 product

Vendor	Product	Version
Rockwell Automation	Arena®	Affected: All versions 16.20.06 and prior

Date Public

2024-12-19 14:00

Show details on NVD website

JSON

To clipboard

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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.