Quick answers
- Is CVE-2026-10290 exploited in the wild?
- No. Junglewise Threat Intelligence has no report of CVE-2026-10290 being exploited in the wild.
- How severe is CVE-2026-10290?
- High severity, with a CVSS score of 7.3, published 1 June 2026.
- Which products and versions are affected?
- Code-Projects Hotel and Tourism Reservation System 1.0.
- Is there a fix for CVE-2026-10290?
- No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.
- How is CVE-2026-10290 attacked?
- It is attacked over the network, in a network appliance.
- Am I affected by CVE-2026-10290?
- Check whether you run Code-Projects Hotel and Tourism Reservation System at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.
Technical details
A SQL injection vulnerability exists in the 'tour' GET parameter of the tour.php file in Hotel and Tourism Reservation System 1.0. The application fails to sanitize the 'tour' parameter before interpolating it directly into a raw SQL query (e.g., SELECT * FROM tourism WHERE id = '{$tourID}'). A remote, unauthenticated attacker can exploit this by sending crafted HTTP GET requests to manipulate database queries. Successful exploitation allows for full database enumeration, including the extraction of user credentials and reservation data. A public exploit (PoC) and sqlmap instructions have been disclosed. No official patch is currently documented, but the vulnerability can be mitigated by implementing prepared statements with parameterized queries.
Affected products
- code-projects Hotel and Tourism Reservation System 1.0
Timeline
- 2026-06-01: disclosed: Vulnerability details and PoC published on GitHub
- 2026-06-01: advisory: NVD and VulDB published advisory data