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CVE-2026-105168 kishor-23 CVE debrief

A vulnerability was identified in kishor-23 food-waste-management-system 411989e3ecb82895e53dca7865f72145f03d7d93/b3a70b2c492dc9904de5be1ad9389bd79b87f82c. This affects an unknown function of the file admin/admin.php of the component Order Assignment Block. The manipulation of the argument order_id/delivery_person_id leads to sql injection. It is possible to initiate the attack remotely. The exploit is publicly available and might be used.

Vendor
kishor-23
Product
food-waste-management-system
CVSS
LOW 2.1
CISA KEV
Not listed in stored evidence
Original CVE published
2026-10-05
Original CVE updated
2026-10-05
Advisory published
2026-10-05
Advisory updated
2026-10-05

Who should care

Defenders responsible for kishor-23 food-waste-management-system deployments should assess exposure and prioritize verification of inventory and potential impact. Defenders should prioritize verifying the presence of this vulnerability in their inventory and assessing the potential impact on their systems. Operators and security teams managing kishor-23 food-waste-management-system should review compensating controls for exposed systems while remediation

Why it matters

This SQL injection vulnerability in kishor-23 food-waste-management-system allows remote attackers to manipulate the argument order_id/delivery_person_id, potentially leading to unauthorized data access or modification. Defenders should prioritize verifying the presence of this vulnerability in their inventory and assessing the potential impact on their systems.

  • Verify the presence of this vulnerability in your inventory
  • Assess the potential impact on your systems
  • Consider implementing compensating controls to mitigate the vulnerability

Technical summary

The vulnerability affects an unknown function of the file admin/admin.php of the component Order Assignment Block in kishor-23 food-waste-management-system 411989e3ecb82895e53dca7865f72145f03d7d93/b3a70b2c492dc9904de5be1ad9389bd79b87f82c. The manipulation of the argument order_id/delivery_person_id leads to sql injection. This SQL injection vulnerability in kishor-23 food-waste-management-system allows remote attackers to manipulate the argument order_id/delivery_person_id, potentially leading to unauthorized data access or modification.

Defensive priority

Defenders should prioritize verifying the presence of this vulnerability in their inventory and assessing the potential impact on their systems.

Recommended defensive actions

  • Verify the presence of this vulnerability in your inventory
  • Assess the potential impact on your systems
  • Consider implementing compensating controls to mitigate the vulnerability
  • Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance
  • Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE record and source metadata indicate a SQL injection vulnerability in the kishor-23 food-waste-management-system. The vulnerability affects an unknown function of the file admin/admin.php of the component Order Assignment Block. The exploit is publicly available, but no version details for affected or updated releases are available due to the rolling release model.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-105168 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-105168

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-105168 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-105168

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.