Vulnerability-Lookup

GHSA-Q44V-8FFC-WMR7

Vulnerability from github – Published: 2026-10-12 06:31 – Updated: 2026-10-12 06:31

Details

SQL injection in the bulk license plate search of the Flock Night Shift hosted service allowed an authenticated user to read other customer organizations' data, including license plate recognition records, via a crafted license plate value. Data could not be modified. Flock identified the issue through internal security review and remediated it on 2026-08-12; no customer action is required.

Severity

6.5 (Medium)


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

7.1 (High)


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

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JSON

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{
  "affected": [],
  "aliases": [
    "CVE-2026-109080"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-10-12T06:17:00Z",
    "severity": "HIGH"
  },
  "details": "SQL injection in the bulk license plate search of the Flock Night Shift hosted service allowed an authenticated user to read other customer organizations\u0027 data, including license plate recognition records, via a crafted license plate value. Data could not be modified. Flock identified the issue through internal security review and remediated it on 2026-08-12; no customer action is required.",
  "id": "GHSA-q44v-8ffc-wmr7",
  "modified": "2026-10-12T06:31:17Z",
  "published": "2026-10-12T06:31:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-109080"
    },
    {
      "type": "WEB",
      "url": "https://www.flocksafety.com/legal/security-advisories"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/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-2026-109080 (GCVE-0-2026-109080)

Vulnerability from cvelistv5 – Published: 2026-10-12 05:36 – Updated: 2026-10-15 18:08 Exclusively Hosted Service

Title

SQL injection in Night Shift bulk license plate search allows cross-organization data access

Summary

Severity

7.1 (High)


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

6.5 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-10-15 17:51 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

flock CNA

CNA scorecard – unranked: 1 record in the last 180 days, 10 needed details

References

1 reference

URL	Tags
https://www.flocksafety.com/legal/security-advisories	vendor-advisory

Impacted products

1 product

Vendor	Product	Version
Flock	Night Shift	Affected: 0 , ≤ 2026-08-12 (custom)

Show details on NVD website

JSON

To clipboard

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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.

Vulnerability timeline

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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.

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