PatchSiren cyber security CVE debrief
CVE-2026-2998 eAI Technologies CVE debrief
AI-assisted PatchSiren debrief based on the supplied source corpus. The CVE record was published on 2026-02-23T04:16:02.537Z and has not been modified since then. The ERP developed by eAI Technologies has a DLL Hijacking vulnerability, allowing authenticated local attackers to place a crafted DLL file in the same directory as the program, thereby executing arbitrary code. This vulnerability has a high CVSS score of 8.5, indicating a high severity level. Security teams and administrators responsible for ERP systems developed by eAI Technologies should be aware of this vulnerability and take necessary precautions.
- Vendor
- eAI Technologies
- Product
- ERP F2
- CVSS
- HIGH 8.5
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-02-23
- Original CVE updated
- 2026-07-28
- Advisory published
- 2026-02-23
- Advisory updated
- 2026-07-28
Who should care
Security teams and administrators responsible for ERP systems developed by eAI Technologies should be aware of this vulnerability. They should assess their exposure, implement compensating controls, and monitor for suspicious activity related to DLL loading. Additionally, they should plan vendor-supported updates or mitigations through normal change control where exposure is confirmed.
Technical summary
The ERP developed by eAI Technologies has a DLL Hijacking vulnerability. This allows authenticated local attackers to place a crafted DLL file in the same directory as the program, thereby executing arbitrary code. The vulnerability has a high CVSS score of 8.5, indicating a high severity level. The affected product is an ERP system developed by eAI Technologies. The vulnerability can be exploited by authenticated local attackers, and the potential impact is arbitrary code execution.
Defensive priority
High priority due to the high CVSS score of 8.5 and the potential for arbitrary code execution.
Recommended defensive actions
- Inventory and assess ERP systems developed by eAI Technologies for exposure
- Implement compensating controls to restrict access to sensitive directories
- Monitor for suspicious activity related to DLL loading
- Apply vendor remediation when available
- Review compensating controls for exposed systems while remediation is scheduled and verified
- Check relevant monitoring, detection, and logs for exposed assets that need extra review
- Track exceptions, retest remediated assets, and close the item only after evidence is documented
Evidence notes
The CVE record and NVD detail provide information on the vulnerability. However, the vendor and product names are not clearly identified, making it difficult to determine the affected scope. Evidence is limited, and defenders should verify the vulnerability's impact on ERP systems developed by eAI Technologies. The vulnerability allows authenticated local attackers to place a crafted DLL file in the same directory as the program, thereby executing arbitrary code. Additional verification is required to confirm affected deployments and assess potential exposure.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-2998 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-2998
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2026-2998 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-2998
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://www.chtsecurity.com/news/3ba23045-da8a-4925-b476-967234a0abba
-
Source reference
Unverified legacy reference
URL: https://www.chtsecurity.com/news/95b1c87c-7649-4f9d-bbd6-b69c16b59cea
-
Source reference
Unverified legacy reference
URL: https://www.twcert.org.tw/en/cp-139-10723-14549-2.html
-
Source reference
Unverified legacy reference
URL: https://www.twcert.org.tw/tw/cp-132-10722-db7cb-1.html
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.