WordPress component - Security Vulnerability (CVE-2026-115794)
CVE-2026-115794
P-Net before 1.0.3 passes the application alarm callback a data length derived from the variable part length field of a received RTA alarm frame without checking it against the length of the received frame. A short frame can make the callback receive a length of up to 65507 bytes. An application that copies the reported number of bytes reads past the end of the receive buffer. The attacker must have established an Application Relationship and requires ADJACENT network access. Applications that do not use the alarm data are not affected.
CVE-2026-115794
LOW
CVSS 2.3
Published 2026-10-29
Updated 2026-11-05
AI Risk Low (20/100)
Active Exploit: No strong signal
Published Exploit: No public exploit references
Priority: P5 Monitor
Severity Band
LOW
CVSS Vector
CVSS:4.0/AV:A/AC:L/AT:P/PR:N/UI:N/VC:L/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Affected Components
1
Reference Links
1
AI Risk Engine
Low (20/100)
Exploitability
Low
Active Exploitation
No strong signal
Published Exploit Status
No public exploit references
AI Context
Machine-generated threat intelligence
AI
Updated 4 days ago
AI enriched 4 days ago (2026-11-08 01:33 UTC)
Technical Summary
P-Net before 1.0.3 passes the application alarm callback a data length derived from the variable part length field of a received RTA alarm frame without checking it against the length of the received frame. A short frame can make the callback receive a length of up to 65507 bytes. An application that copies the reported number of bytes reads past the end of the receive buffer. The attacker must have established an Application Relationship and requires ADJACENT network access. Applications…
Potential Impact
Severity is LOW (CVSS 2.3). Depending on deployment context, affected components may be exposed to unauthorized actions or data integrity risk.
Exploitability Assessment
Exploitability is assessed as Low based on severity and technical exposure profile.
Primary risk drivers: severity and technical exposure profile
Mitigation Recommendations
Validate affected product versions, prioritize patching, and monitor references for vendor remediation guidance. If immediate patching is not possible, apply compensating controls and limit exposure of vulnerable surfaces.
Detection & Monitoring
Track authentication anomalies, unexpected file writes, and suspicious plugin API activity around affected components.
Business Impact Lens
AI risk score 20/100 (Low, Low) with priority P5 Monitor. Prioritize remediation where affected components process customer data, admin sessions, or Internet-exposed workflows.