PatchSiren

PatchSiren cyber security CVE debrief

CVE-2026-34102 guardian CVE debrief

The Guardian language-system is vulnerable to SQL injection attacks via the id parameter in job_info_get.php. This HIGH severity vulnerability, with a CVSS score of 8.7, allows an authenticated attacker to extract database contents through error-based SQL injection. The CVE record was published on 2026-07-01T17:16:33.180Z and has not been modified since then. Security teams, database administrators, and IT professionals responsible for Guardian language-system installations should be aware of this vulnerability and take immediate defensive actions to prevent exploitation. They should review system inventories, assess potential impact, and prioritize patching or mitigation efforts. Vulnerability management and security teams should track this issue and ensure proper compensating controls are in place for exposed systems. Evidence is limited to CVE and NVD information. Defenders should verify system presence, review official advisories, and monitor for suspicious SQL queries.

Vendor
guardian
Product
language-system
CVSS
HIGH 8.7
CISA KEV
Not listed in stored evidence
Original CVE published
2026-07-01
Original CVE updated
2026-08-24
Advisory published
2026-07-01
Advisory updated
2026-08-24

Who should care

Security teams, database administrators, and IT professionals responsible for Guardian language-system installations should be aware of this vulnerability and take immediate defensive actions to prevent exploitation. They should review system inventories, assess potential impact, and prioritize patching or mitigation efforts. Vulnerability management and security teams should track this issue and ensure proper compensating controls are in place for exposed systems.

Technical summary

The Guardian language-system is vulnerable to SQL injection attacks via the id parameter in job_info_get.php. An authenticated attacker can perform error-based SQL injection to extract database contents. The vulnerability has a CVSS score of 8.7 and is classified as HIGH severity. The vulnerability affects the Guardian language-system, allowing attackers to extract database contents. To defend against this vulnerability, implement compensating controls such as web application firewalls, monitor for suspicious SQL queries and database access patterns, and apply vendor patches or updates when available. Restrict access to sensitive database contents. The NVD entry is currently Deferred.

Defensive priority

Authenticated attackers may exploit this HIGH severity vulnerability, with a CVSS score of 8.7, to perform SQL injection attacks. Immediate defensive actions are recommended.

Recommended defensive actions

  • Inventory and verify the presence of affected systems
  • Implement compensating controls, such as web application firewalls
  • Monitor for suspicious SQL queries and database access patterns
  • Apply vendor patches or updates when available
  • Restrict access to sensitive database contents

Evidence notes

The CVE-2026-34102 record indicates that the Guardian language-system is vulnerable to SQL injection attacks via the id parameter in job_info_get.php. The vulnerability allows an authenticated attacker to extract database contents through error-based SQL injection. The NVD entry is currently Deferred. Evidence is limited to CVE and NVD information. Defenders should verify system presence, review official advisories, and monitor for suspicious SQL queries.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-34102 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-34102

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-34102 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-34102

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental 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.