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CVE-2026-94041 AdithyaYelloju CVE debrief

A SQL injection vulnerability was found in the Restaurant-Management-System by AdithyaYelloju. The issue affects an unknown functionality in the file admin/add_menu.php, specifically through the manipulation of the item, price, image, and type arguments. This vulnerability can be exploited remotely. The project uses a rolling release model, so no specific version details for affected or updated releases are available. The project was informed early but has not yet responded.

Vendor
AdithyaYelloju
Product
Restaurant-Management-System
CVSS
LOW 2.1
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-20
Original CVE updated
2026-09-20
Advisory published
2026-09-20
Advisory updated
2026-09-20

Who should care

Defenders responsible for the Restaurant-Management-System by AdithyaYelloju should assess exposure and prioritize verification of this vulnerability in their inventory. This includes reviewing system configurations, monitoring for exploitation attempts, and coordinating with the vendor for potential patches or updates. Additionally, security teams should evaluate the potential impact on their assets and implement compensating controls as necessary.

Why it matters

CVE-2026-94041 is a SQL injection vulnerability in the Restaurant-Management-System by AdithyaYelloju that can be exploited remotely. Defenders should prioritize verifying the presence of this vulnerability in their inventory and assessing exposure. The project uses a rolling release model, limiting the availability of specific version details for affected or updated releases. The project's unresponsiveness to the issue report may delay a fix.

  • Remote exploitation possibility requires immediate attention
  • SQL injection vulnerability can lead to data breaches
  • Lack of specific version details for affected or updated releases complicates remediation
  • Project's unresponsiveness to the issue report may delay a fix

Technical summary

The vulnerability is located in the admin/add_menu.php file of the Restaurant-Management-System by AdithyaYelloju. The item, price, image, and type arguments are susceptible to SQL injection attacks, allowing for remote exploitation. This issue arises from inadequate input validation and sanitization, enabling attackers to inject malicious SQL code. Defenders should focus on validating user inputs and ensuring proper sanitization to mitigate this vulnerability. The project's use of a rolling release model complicates version-specific remediation efforts.

Defensive priority

Defenders should prioritize verifying the presence of this vulnerability in their inventory and assessing exposure, given the remote exploitation possibility.

Recommended defensive actions

  • Verify the presence of this vulnerability in your inventory
  • Assess exposure given the remote exploitation possibility
  • Monitor for potential exploitation attempts
  • Consider compensating controls until an official fix is available
  • Review vendor guidance for potential patches or updates
  • Conduct a thorough review of system logs for signs of exploitation
  • Implement additional monitoring for suspicious activity related to the Restaurant-Management-System

Evidence notes

The CVE record and NVD detail page provide information on the vulnerability. However, the project uses a rolling release model, limiting the availability of specific version details for affected or updated releases.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-94041 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-94041

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

  • CVE-2026-94041 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-94041

    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.