Vulnerability-Lookup

GHSA-WJ79-QQHX-JQHR

Vulnerability from github – Published: 2022-01-27 00:01 – Updated: 2022-02-03 00:00

Details

In ListCheck.exe in Acer Care Center 4.x before 4.00.3038, a vulnerability in the loading mechanism of Windows DLLs could allow a local attacker to perform a DLL hijacking attack. This vulnerability is due to incorrect handling of directory search paths at run time. An attacker could exploit this vulnerability by placing a malicious DLL file on the targeted system. This file will execute when the vulnerable application launches. A successful exploit could allow the attacker to execute arbitrary code on the targeted system with local administrator privileges.

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{
  "affected": [],
  "aliases": [
    "CVE-2021-45975"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-426"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-01-26T15:15:00Z",
    "severity": "HIGH"
  },
  "details": "In ListCheck.exe in Acer Care Center 4.x before 4.00.3038, a vulnerability in the loading mechanism of Windows DLLs could allow a local attacker to perform a DLL hijacking attack. This vulnerability is due to incorrect handling of directory search paths at run time. An attacker could exploit this vulnerability by placing a malicious DLL file on the targeted system. This file will execute when the vulnerable application launches. A successful exploit could allow the attacker to execute arbitrary code on the targeted system with local administrator privileges.",
  "id": "GHSA-wj79-qqhx-jqhr",
  "modified": "2022-02-03T00:00:40Z",
  "published": "2022-01-27T00:01:13Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-45975"
    },
    {
      "type": "WEB",
      "url": "https://acercsi.com"
    },
    {
      "type": "WEB",
      "url": "https://aptw.tf/2022/01/20/acer-care-center-privesc.html"
    },
    {
      "type": "WEB",
      "url": "https://community.acer.com/en/kb/articles/14757-acer-care-center-requires-an-update-to-resolve-a-security-vulnerability"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2021-45975 (GCVE-0-2021-45975)

Vulnerability from cvelistv5 – Published: 2022-01-26 14:59 – Updated: 2024-08-04 04:54

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://acercsi.com	x_refsource_MISC
https://community.acer.com/en/kb/articles/14757-a…	x_refsource_MISC
https://aptw.tf/2022/01/20/acer-care-center-prive…	x_refsource_MISC

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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.