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CVE-2026-97883 mathurvishal CVE debrief

CVE-2026-97883 is a SQL injection vulnerability in the updatequery.php file of the mathurvishal CloudClassroom-PHP-Project up to version 5dadec098bfbbf3300d60c3494db3fb95b66e7be. The vulnerability allows remote attackers to inject malicious SQL code through the gid argument. The exploit has been publicly disclosed, and the vendor has not responded to the disclosure. The product uses continuous delivery with rolling releases, making it difficult to determine affected or updated versions.

Vendor
mathurvishal
Product
CloudClassroom-PHP-Project
CVSS
MEDIUM 5.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-25
Original CVE updated
2026-09-25
Advisory published
2026-09-25
Advisory updated
2026-09-25

Who should care

Defenders responsible for the mathurvishal CloudClassroom-PHP-Project should assess their exposure and prioritize verification and mitigation efforts. This includes reviewing system configurations, monitoring for suspicious activity, and implementing compensating controls to minimize potential impact. Security teams and vulnerability management teams should also be aware of this vulnerability and plan for potential remediation efforts.

Why it matters

CVE-2026-97883 is a SQL injection vulnerability in the mathurvishal CloudClassroom-PHP-Project that allows remote attackers to inject malicious SQL code. Defenders should prioritize verifying the presence of the vulnerability in their systems and applying patches or mitigations as soon as they become available.

  • Verify the presence of the vulnerability in your systems
  • Assess the potential impact of SQL injection attacks
  • Implement input validation and sanitization for user input
  • Monitor for publicly available patches or mitigations

Technical summary

The vulnerability is caused by a lack of input validation and sanitization in the updatequery.php file of the mathurvishal CloudClassroom-PHP-Project. The gid argument is not properly sanitized, allowing remote attackers to inject malicious SQL code. This SQL injection vulnerability allows attackers to manipulate the database, potentially leading to unauthorized data access or modifications. Defenders should prioritize verifying the presence of the vulnerability in their systems and applying patches or mitigations as soon as they become available.

Defensive priority

Defenders should prioritize verifying the presence of the vulnerability in their systems and applying patches or mitigations as soon as they become available.

Recommended defensive actions

  • Verify the presence of the vulnerability in your systems
  • Monitor for publicly available patches or mitigations
  • Restrict access to the updatequery.php file
  • Implement input validation and sanitization for user input
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • 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 NVD entry provide limited information about the vulnerability. The exploit has been publicly disclosed, but there is no information on in-the-wild exploitation or specific affected versions.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-97883 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-97883

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

  • CVE-2026-97883 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-97883

    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.