CVE-2023-49440: EPP · n/a
Affects EPPSource CVE Database V5
Not known to be exploited · CVSS 8.8 High.
Data as of 26 Oct 2026, 06:26 UTC
- EPSS
- 0.3% chance of exploitation in 30 days – higher than 25% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 27 Oct 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
GitHubahnlab/EPPpkg:github/ahnlab/EPPOther threats | Affected
| Fixed in– |
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
1. Immediately restrict network access to the AhnLab EPP management interfaces, especially limiting access to trusted IP addresses and internal networks. 2. Employ Web Application Firewalls (WAFs) or Intrusion Prevention Systems (IPS) with signatures or heuristics to detect and block SQL Injection attempts targeting the 'preview' parameter. 3. Monitor database query logs and application logs for anomalous or suspicious SQL commands indicative of injection attempts. 4. Implement strict input validation and sanitization on all parameters, particularly the 'preview' parameter, to prevent malicious input from reaching the database layer. 5. Engage with AhnLab support or vendor channels to obtain patches or updates as soon as they become available and prioritize their deployment. 6. Conduct internal penetration testing and vulnerability scanning focused on SQL Injection vectors to identify and remediate similar weaknesses. 7. Educate security and IT teams about this vulnerability and ensure incident response plans include scenarios involving SQL Injection attacks. 8. Consider network segmentation to isolate endpoint protection management components from general user networks to reduce attack surface.
Description
AhnLab EPP 1.0.15 is vulnerable to SQL Injection via the "preview parameter."