PatchSiren cyber security CVE debrief
CVE-2019-25668 Phpscriptsmall CVE debrief
CVE-2019-25668 is an SQL injection vulnerability in News Website Script 2.0.5. The vulnerability allows unauthenticated attackers to manipulate database queries by injecting SQL code through the news ID parameter. Attackers can send GET requests to index.php/show/news/ with malicious SQL statements to extract sensitive database information. This high-severity vulnerability has a CVSS score of 8.8 and is classified as HIGH severity. Affected product deployments should be identified and owners assigned for follow-up. The CVE record and NVD detail provide further information on the vulnerability.
- Vendor
- Phpscriptsmall
- Product
- News Website Script
- CVSS
- HIGH 8.8
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-04-05
- Original CVE updated
- 2026-07-24
- Advisory published
- 2026-04-05
- Advisory updated
- 2026-07-24
Who should care
Administrators and users of News Website Script 2.0.5 should be aware of this high-severity vulnerability and take immediate action to defend against potential SQL injection attacks. Affected operators, platforms, and security teams should review the vulnerability's impact and implement necessary mitigations. Vulnerability management and security teams should prioritize patching and monitoring for suspicious activity.
Technical summary
The CVE-2019-25668 vulnerability is caused by inadequate input validation in the news ID parameter of the index.php/show/news/ page. This allows attackers to inject malicious SQL code and manipulate database queries. The vulnerability has a CVSS score of 8.8 and is classified as HIGH severity. To defend against potential SQL injection attacks, administrators should verify the version of News Website Script and apply patches or updates. Implementing input validation and sanitization for user-supplied input can also help prevent such attacks.
Defensive priority
High
Recommended defensive actions
- Verify the version of News Website Script and apply patches or updates to address the SQL injection vulnerability
- Implement input validation and sanitization for user-supplied input
- Monitor for suspicious activity and implement logging and auditing mechanisms
- Consider implementing a web application firewall (WAF) to detect and prevent SQL injection attacks
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
- 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
Evidence notes
The CVE-2019-25668 vulnerability was reported in the NVD database and has a CVSS score of 8.8. The vulnerability is caused by inadequate input validation in the news ID parameter of the index.php/show/news/ page. Evidence is limited to public sources and may not reflect the full scope or impact of the vulnerability. Defenders should verify the vulnerability's existence and potential impact on their systems, considering the CVSS score and the nature of the vulnerability. Limited source detail suggests exercising caution and defensive verification.
Sources and references
Verified primary and authoritative sources
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CVE-2019-25668 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2019-25668
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2019-25668 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2019-25668
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://www.exploit-db.com/exploits/46456
[email protected] - Exploit, VDB Entry
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Mitigation or vendor reference
Unverified legacy reference
URL: https://www.vulncheck.com/advisories/news-website-script-sql-injection-via-index-php
[email protected] - Third Party Advisory
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.