Sales and Inventory System CVE-2026-82609

Exploitation requires a valid authenticated session in the Sales and Inventory System (PR:L per CVSS 4.0 vector) - anonymous internet access alone is insufficient. The vulnerability is present in the default installation of version 1.0 with no special non-default configuration required beyond having an active user account. The attack is network-reachable (AV:N) and requires no user interaction (UI:N). Exploitation is limited by: (1) the need for at least low-privilege application credentials, and (2) the narrow deployment footprint of this niche PHP script. Impact is bounded to the application's database - no scope change to other systems is indicated (SC:N/SI:N/SA:N).

The CVSS 4.0 vector (AV:N/AC:L/AT:N/PR:L/UI:N/E:P) signals a network-reachable, low-complexity flaw requiring low-privilege authentication, with partial CIA impact on the vulnerable system only and no downstream scope change. The E:P (proof-of-concept exploit exists) modifier appropriately elevates practical risk above a theoretical finding. Real-world priority is tempered by two factors: authentication is required (PR:L), meaning unauthenticated internet scanners cannot trivially weaponize this; and the product itself is a niche, low-footprint PHP script primarily distributed as an educational or demo application rather than enterprise software. No EPSS score was provided. KEV status is negative. The public POC (GitHub issue) means exploitation is trivial for any authenticated user, so organizations actively running this system should treat it as high priority within their own environment, while widespread internet-scale exploitation is unlikely given limited deployments.

An authenticated user with any valid application account sends a crafted HTTP GET or POST request to /pages/inv_edit.php?ID=1' OR '1'='1 or a UNION-based payload, causing the backend PHP script to pass the unsanitized value directly into a SQL query. The attacker can enumerate database tables, extract credential hashes, or manipulate inventory records. A public POC demonstrating this technique is available on GitHub, meaning the attack requires minimal SQL injection knowledge.