CVE-2026-19507 RDK CVE debrief

Who should care

Defenders responsible for RDK-B WebUI systems, particularly those with publicly accessible interfaces, should assess exposure and prioritize verification of potential large-scale password attacks on resource consumption.

Why it matters

CVE-2026-19507 is a high-severity vulnerability in RDK-B WebUI that allows remote unauthenticated attackers to cause denial of service via large password values. Defenders should prioritize verifying exposure, assessing potential impact, and implementing monitoring and rate limiting to mitigate potential attacks.

• Potential denial of service due to uncontrolled resource consumption
• Need for verification of RDK-B WebUI exposure and vulnerability
• Possible impact on resource availability and system performance
• Requirement for monitoring and rate limiting to mitigate potential attacks

Technical summary

The vulnerability exists in the `check.jst` component of RDK-B WebUI version `rdkb-2025q4-kirkstone.04.10.26`. A remote unauthenticated attacker can cause a denial of service by sending excessively large password values, leading to uncontrolled resource consumption. The CVSS score for this vulnerability is 7.5, indicating a high severity.

Defensive priority

Defenders should prioritize verifying exposure of RDK-B WebUI systems, particularly those with publicly accessible interfaces, and assess the impact of potential large-scale password attacks on resource consumption.

Recommended defensive actions

• Verify exposure of RDK-B WebUI systems, particularly those with publicly accessible interfaces
• Assess the impact of potential large-scale password attacks on resource consumption
• Implement monitoring to detect unusually large password attempts
• Consider rate limiting or IP blocking for suspicious traffic patterns

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its description, CVSS score, and affected product information. However, additional information on potential exploitation, victim impact, or remediation efforts is limited.

Sources and references

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.