Restaurant Order System EUVD-2025-18397

Despite the CVSS 3.1 score of 7.3 (High), this vulnerability represents a CRITICAL real-world risk when combined with multiple aggravating factors: (1) Attack Vector: Network (AV:N) - remotely exploitable with no user interaction required; (2) Attack Complexity: Low (AC:L) - no special conditions needed; (3) Privileges Required: None (PR:N) - unauthenticated access; (4) Public disclosure with confirmed proof-of-concept availability significantly elevates exploitation probability; (5) The vulnerability affects confidentiality (C:L), integrity (I:L), and availability (A:L) simultaneously through SQL injection's multi-faceted impact potential; (6) Restaurant Order Systems typically operate in continuous production environments with limited update cadence, extending exposure windows. While the CVSS Environmental Metrics don't reflect maximum severity, the combination of network accessibility, no authentication requirement, and public POC availability indicates this should be treated as actively exploitable with high EPSS probability. The SSVC framework would likely classify this as EXPLOITATION:PoC-in-the-wild, AUTOMATABLE:Yes (SQL injection tooling), TECHNICAL-IMPACT:Total, resulting in IMMEDIATE remediation priority.

An attacker discovers a Restaurant Order System 1.0 instance through network scanning or public exposure. The attacker crafts a malicious HTTP request to /tablelow.php?ID=1' OR '1'='1 or uses advanced SQL injection payloads such as UNION-based injection to extract data. Example attack flow: (1) Reconnaissance: identify /tablelow.php endpoint through directory enumeration or error message disclosure; (2) Exploitation: submit payload like /tablelow.php?ID=1' AND SLEEP(5)-- to confirm time-based SQL injection; (3) Data exfiltration: use UNION SELECT queries to extract user credentials, customer payment information, and order details from database; (4) Lateral attack: modify database content to alter orders, pricing, or customer records; (5) Persistence: inject malicious SQL triggers or stored procedures for long-term access. Given the network accessibility and no-authentication requirement, automated exploitation tooling (sqlmap, Havij) can rapidly compromise vulnerable instances without manual intervention. A realistic scenario: cybercriminal discovers exposed Restaurant Order System, extracts customer credit card data stored in database, and sells credentials on dark web forums within hours of initial discovery.