PatchSiren cyber security CVE debrief
CVE-2026-36176 GNCC CVE debrief
CVE-2026-36176 is a HIGH-severity vulnerability in GNCC GP5 v7.1.76. The vulnerability allows physically-proximate attackers to extract pre-signed Backblaze B2 upload URLs (PUT requests) stored in plaintext to the serial console, enabling unauthorized operations via monitoring the serial UART interface.
- Vendor
- GNCC
- Product
- GP5
- CVSS
- HIGH 7.1
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-06-04
- Original CVE updated
- 2026-07-22
- Advisory published
- 2026-06-04
- Advisory updated
- 2026-07-22
Who should care
Administrators and users of GNCC GP5 v7.1.76, especially those concerned with physical security and data integrity.
Technical summary
GNCC GP5 v7.1.76 stores pre-signed Backblaze B2 upload URLs (PUT requests) in plaintext to the serial console. Physically-proximate attackers can extract these active tokens to perform unauthorized operations via monitoring the serial UART interface.
Defensive priority
HIGH
Recommended defensive actions
- Restrict physical access to the serial console.
- Implement secure storage and handling of pre-signed Backblaze B2 upload URLs.
- Monitor for and respond to potential unauthorized access attempts.
Evidence notes
The vulnerability was discovered in GNCC GP5 v7.1.76.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-36176 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-36176
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2026-36176 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-36176
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://github.com/BadChemical/IoT-Vulnerability-Research-Public/blob/main/GNCC-GP5-T23/README.md
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.