CVE-2023-5908 (GCVE-0-2023-5908)

Vulnerability from cvelistv5 – Published: 2023-11-30 22:03 – Updated: 2024-08-02 08:14
VLAI
Title
Heap Based Buffer Overflow in PTC KEPServerEx
Summary
KEPServerEX is vulnerable to a buffer overflow which may allow an attacker to crash the product being accessed or leak information.
CWE
  • CWE-122 - Heap-Based Buffer Overflow
References
Impacted products
Vendor Product Version CPE status
PTC KEPServerEX Affected: 0 , ≤ 6.14.263.0 (custom)
guessed Create a notification for this product.
PTC ThingWorx Kepware Server Affected: 0 , ≤ 6.14.263.0 (custom)
guessed Create a notification for this product.
PTC ThingWorx Industrial Connectivity Affected: All versions
guessed Create a notification for this product.
PTC OPC-Aggregator Affected: 0 , ≤ 6.14 (custom)
guessed Create a notification for this product.
PTC ThingWorx Kepware Edge Affected: 0 , ≤ 1.7 (custom)
guessed Create a notification for this product.
Rockwell Automation KEPServer Enterprise Affected: 0 , ≤ 6.14.263.0 (custom)
guessed Create a notification for this product.
GE Gigital Industrial Gateway Server Affected: 0 , ≤ 7.614 (custom)
guessed Create a notification for this product.
Software Toolbox TOP Server Affected: 0 , ≤ 6.14.263.0 (custom)
guessed Create a notification for this product.
Show details on NVD website

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              "US Government Resource"
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            "url": "https://www.cisa.gov/news-events/ics-advisories/icsa-23-334-03"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Third Party Advisory",
              "US Government Resource"
            ],
            "url": "https://www.cisa.gov/news-events/ics-advisories/icsa-23-334-03"
          }
        ],
        "sourceIdentifier": "ics-cert@hq.dhs.gov",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-122"
              }
            ],
            "source": "ics-cert@hq.dhs.gov",
            "type": "Secondary"
          },
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-120"
              }
            ],
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      }
    },
    "redhat_vex": {
      "current_release_date": "2025-05-29T00:41:30+00:00",
      "cve": "CVE-2023-5908",
      "id": "CVE-2023-5908",
      "initial_release_date": "2023-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "Heap Based Buffer Overflow in PTC KEPServerEx",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2023/cve-2023-5908.json",
      "version": "3"
    }
  }
}



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Taxonomy of the tags.


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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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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Detection rules are retrieved from Rulezet.

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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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