Vulnerability-Lookup

CVE-2026-57874 (GCVE-0-2026-57874)

Vulnerability from cvelistv5 – Published: 2026-06-26 07:17 – Updated: 2026-06-26 15:30

Title

GV-LPC2011/LPC2211 - unauthorized buffer overflow vulnerability (IEEE8021x_upload.cgi)

Summary

An unauthenticated buffer overflow vulnerability exists in IEEE8021x_upload.cgi in GeoVision GV-LPC2011 and GV-LPC2211 V1.12 and earlier. The vulnerability is caused by insufficient bounds checking when parsing filename values in multipart upload data. A remote attacker may exploit this vulnerability by sending a crafted upload request with overly long input, causing memory corruption and resulting in a denial of service.

Severity

7.5 (High)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-06-26 15:29 UTC

CWE

CWE-120 - Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')

Assigner

GV mitre root

References

1 reference

URL	Tags
https://www.geovision.com.tw/cyber_security.php

Impacted products

1 product

Vendor	Product	Version	CPE status
GeoVision Inc.	GV-LPCLPC2011/2211	Affected: 1.12 Unaffected: 1.13 cpe:2.3:a:geovision_inc.:gv-lpclpc2011_2211:1.12::linux:::::

Date Public

2026-06-26 02:55

Credits

Jincheng Wang (@winmt), Professor Le Yu of Nanjing University of Posts and Telecommunications, and Professor Xiapu Luo of The Hong Kong Polytechnic University has reported:

Show details on NVD website

JSON

To clipboard

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FKIE_CVE-2026-57874

Vulnerability from fkie_nvd - Published: 2026-06-26 08:16 - Updated: 2026-06-26 16:16

Severity

7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Summary

References

	URL	Tags
	0df08a0e-a200-4957-9bb0-084f562506f9	https://www.geovision.com.tw/cyber_security.php

Impacted products

	Vendor	Product	Version

JSON

To clipboard

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          "defaultStatus": "unaffected",
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              "version": "1.12"
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GHSA-VRJW-2C7C-HHV6

Vulnerability from github – Published: 2026-06-26 09:30 – Updated: 2026-06-26 09:30

Details

Severity

7.5 (High)


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

Show details on source website

JSON

To clipboard

{
  "affected": [],
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  ],
  "database_specific": {
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  },
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  "id": "GHSA-vrjw-2c7c-hhv6",
  "modified": "2026-06-26T09:30:46Z",
  "published": "2026-06-26T09:30:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-57874"
    },
    {
      "type": "WEB",
      "url": "https://www.geovision.com.tw/cyber_security.php"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
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      "type": "CVSS_V3"
    }
  ]
}

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.

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.

Action not permitted

CVE-2026-57874 (GCVE-0-2026-57874)

FKIE_CVE-2026-57874

GHSA-VRJW-2C7C-HHV6

Tags

Sightings

Nomenclature

Related by attack behaviour