PatchSiren cyber security CVE debrief
CVE-2019-25688 Kados CVE debrief
CVE-2019-25688 Kados R10 GreenBee SQL Injection Vulnerability. The vulnerability allows unauthenticated attackers to manipulate database queries by injecting SQL code through the menu_lev1 parameter. This SQL injection vulnerability in Kados R10 GreenBee can lead to unauthorized access and manipulation of sensitive database information. Security teams should assess the risk and prioritize patching to prevent potential data breaches.
- Vendor
- Kados
- Product
- Kados GreenBee
- CVSS
- HIGH 8.8
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-04-05
- Original CVE updated
- 2026-07-24
- Advisory published
- 2026-04-05
- Advisory updated
- 2026-07-24
Who should care
Security teams and administrators responsible for Kados R10 GreenBee installations should prioritize patching this vulnerability to prevent potential data breaches. This involves reviewing the vulnerability details, assessing the risk to their organization, and implementing necessary security measures. Additionally, operators and platform administrators should be aware of the potential impact on database security and take appropriate actions.
Technical summary
The Kados R10 GreenBee system contains an SQL injection vulnerability. This vulnerability allows unauthenticated attackers to manipulate database queries by injecting SQL code through the menu_lev1 parameter. Attackers can send crafted requests with malicious SQL payloads in the menu_lev1 parameter to extract sensitive database information or modify database contents. The vulnerability has a CVSS score of 8.8 and is classified as HIGH severity.
Defensive priority
High priority should be given to patching this vulnerability due to its high CVSS score and potential impact on database security. Security teams should review the vulnerability details and assess the risk to their organization. Implementing input validation and sanitization for the menu_lev1 parameter can help prevent SQL injection attacks. Additionally, monitoring database activity for suspicious queries can help detect potential exploitation attempts. Consider implementing a web application firewall (WAF) to detect and block malicious SQL injection payloads. It is essential to track exceptions, retest remediated assets, and close the item only after evidence is documented. Review compensating controls for exposed systems while remediation is scheduled and verified. Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up. Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed. Check relevant monitoring, detection, and logs for exposed assets that need extra review. Security teams and administrators responsible for Kados R10 GreenBee installations should prioritize patching this vulnerability to prevent potential data breaches. The Kados R10 GreenBee system contains an SQL injection vulnerability. This vulnerability allows unauthenticated attackers to manipulate database queries by injecting SQL code through the menu_lev1 parameter. Attackers can send crafted requests with malicious SQL payloads in the menu_lev1 parameter to extract sensitive database information or modify database contents. The vulnerability has a CVSS score of 8.8 and is classified as HIGH severity. Security teams and administrators responsible for Kados R10 GreenBee installations should prioritize patching this vulnerability to prevent potential data breaches. The vulnerability allows unauthenticated attackers to manipulate database queries by injecting SQL code through the menu_lev1 parameter. Attackers can send crafted requests with malicious SQL payloads in the menu_lev1 parameter to extract sensitive database information or modify database contents. The Kados R10 GreenBee system contains
Recommended defensive actions
- Apply patches or updates provided by the vendor to fix the SQL injection vulnerability.
- Implement input validation and sanitization for the menu_lev1 parameter to prevent SQL injection attacks.
- Monitor database activity for suspicious queries that may indicate exploitation attempts.
- Consider implementing a web application firewall (WAF) to detect and block malicious SQL injection payloads.
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up.
- Review compensating controls for exposed systems while remediation is scheduled and verified.
- Track exceptions, retest remediated assets, and close the item only after evidence is documented.
Evidence notes
The CVE record was published on 2026-04-05T21:16:47.650Z and was last modified on 2026-07-24T22:10:00.140Z. The NVD entry is currently Analyzed. The vulnerability is related to CWE-89, which is an SQL injection vulnerability. There is limited information available about the specific affected products and versions. Defenders should verify the affected scope and vendor guidance for accurate information.
Sources and references
Verified primary and authoritative sources
-
CVE-2019-25688 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2019-25688
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2019-25688 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2019-25688
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://sourceforge.net/projects/kados/
[email protected] - Product
-
Source reference
Unverified legacy reference
URL: https://www.exploit-db.com/exploits/46505
[email protected] - Exploit, VDB Entry
-
Source reference
Unverified legacy reference
URL: https://www.kados.info/
[email protected] - Product
-
Mitigation or vendor reference
Unverified legacy reference
URL: https://www.vulncheck.com/advisories/kados-r10-greenbee-sql-injection-via-menu-lev1-parameter
[email protected] - Third Party Advisory
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.