Vulnerability-Lookup

VAR-202205-2013

Vulnerability from variot - Updated: 2024-08-14 15:37

Alpha7 PC Loader (All versions) is vulnerable to a stack-based buffer overflow while processing a specifically crafted project file, which may allow an attacker to execute arbitrary code. Fuji Electric Alpha7 PC Loader

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CVE-2022-1888 (GCVE-0-2022-1888)

Vulnerability from cvelistv5 – Published: 2022-08-31 15:32 – Updated: 2025-04-16 17:49

Title

Fuji Electric Alpha7 PC Loader Fuji Electric Alpha7 PC Loader

Summary

Alpha7 PC Loader (All versions) is vulnerable to a stack-based buffer overflow while processing a specifically crafted project file, which may allow an attacker to execute arbitrary code.

Severity

7.8 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-16 17:27 UTC

CWE

CWE-121 - Stack-based Buffer Overflow

Assigner

icscert icscert root

References

1 reference

URL	Tags
https://www.cisa.gov/uscert/ics/advisories/icsa-2…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Fuji Electric	Alpha7 PC Loader	Affected: All Versions

Date Public

2022-05-31 00:00

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              "value": "Alpha7 PC Loader (All versions) is vulnerable to a stack-based buffer overflow while processing a specifically crafted project file, which may allow an attacker to execute arbitrary code."
            }
          ]
        },
        "generator": {
          "engine": "Vulnogram 0.0.9"
        },
        "impact": {
          "cvss": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          }
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "CWE-121 Stack-based Buffer Overflow"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-151-01",
              "refsource": "MISC",
              "url": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-151-01"
            }
          ]
        },
        "source": {
          "advisory": "ICSA-22-151-01",
          "discovery": "UNKNOWN"
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "7d14cffa-0d7d-4270-9dc0-52cabd5a23a6",
    "assignerShortName": "icscert",
    "cveId": "CVE-2022-1888",
    "datePublished": "2022-08-31T15:32:57.691Z",
    "dateReserved": "2022-05-25T00:00:00.000Z",
    "dateUpdated": "2025-04-16T17:49:44.370Z",
    "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.