CVE-2023-49440: n/a
AhnLab EPP 1.0.15 is vulnerable to SQL Injection via the "preview parameter."
AI Analysis
Technical Summary
CVE-2023-49440 identifies a SQL Injection vulnerability in AhnLab Endpoint Protection Platform (EPP) version 1.0.15, specifically through the 'preview' parameter. SQL Injection (CWE-89) vulnerabilities occur when untrusted input is improperly sanitized before being included in SQL queries, allowing attackers to manipulate backend databases. In this case, the 'preview' parameter can be exploited remotely over the network without user interaction, requiring only low-level privileges. The vulnerability has a CVSS v3.1 base score of 8.8, reflecting high impact on confidentiality, integrity, and availability. Successful exploitation could allow attackers to extract sensitive data, modify or delete records, or disrupt service availability. Although no public exploits are currently known, the vulnerability's characteristics make it a prime target for attackers seeking to compromise enterprise environments. The lack of available patches at the time of publication increases the urgency for organizations to implement interim mitigations. The vulnerability's network attack vector and low complexity of attack make it particularly dangerous for exposed systems. Given the critical role of endpoint protection platforms in securing enterprise networks, exploitation could lead to widespread compromise and lateral movement within affected environments.
Potential Impact
For European organizations, this vulnerability poses a significant risk to data confidentiality, system integrity, and service availability. Exploitation could lead to unauthorized data disclosure, including sensitive corporate or personal information, potentially violating GDPR and other data protection regulations. Integrity breaches could allow attackers to alter security configurations or logs, undermining trust in security controls. Availability impacts could disrupt endpoint protection services, leaving systems vulnerable to further attacks. Organizations in sectors such as finance, healthcare, and critical infrastructure are particularly at risk due to the sensitive nature of their data and the reliance on endpoint security solutions. The network-based attack vector increases exposure for remote or hybrid work environments prevalent in Europe. Additionally, the absence of known exploits currently provides a window for proactive defense, but also means attackers may develop exploits rapidly once the vulnerability becomes widely known. Failure to address this vulnerability could result in regulatory penalties, reputational damage, and operational disruptions.
Mitigation Recommendations
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.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Poland, Belgium, Sweden, Austria
CVE-2023-49440: n/a
Description
AhnLab EPP 1.0.15 is vulnerable to SQL Injection via the "preview parameter."
AI-Powered Analysis
Technical Analysis
CVE-2023-49440 identifies a SQL Injection vulnerability in AhnLab Endpoint Protection Platform (EPP) version 1.0.15, specifically through the 'preview' parameter. SQL Injection (CWE-89) vulnerabilities occur when untrusted input is improperly sanitized before being included in SQL queries, allowing attackers to manipulate backend databases. In this case, the 'preview' parameter can be exploited remotely over the network without user interaction, requiring only low-level privileges. The vulnerability has a CVSS v3.1 base score of 8.8, reflecting high impact on confidentiality, integrity, and availability. Successful exploitation could allow attackers to extract sensitive data, modify or delete records, or disrupt service availability. Although no public exploits are currently known, the vulnerability's characteristics make it a prime target for attackers seeking to compromise enterprise environments. The lack of available patches at the time of publication increases the urgency for organizations to implement interim mitigations. The vulnerability's network attack vector and low complexity of attack make it particularly dangerous for exposed systems. Given the critical role of endpoint protection platforms in securing enterprise networks, exploitation could lead to widespread compromise and lateral movement within affected environments.
Potential Impact
For European organizations, this vulnerability poses a significant risk to data confidentiality, system integrity, and service availability. Exploitation could lead to unauthorized data disclosure, including sensitive corporate or personal information, potentially violating GDPR and other data protection regulations. Integrity breaches could allow attackers to alter security configurations or logs, undermining trust in security controls. Availability impacts could disrupt endpoint protection services, leaving systems vulnerable to further attacks. Organizations in sectors such as finance, healthcare, and critical infrastructure are particularly at risk due to the sensitive nature of their data and the reliance on endpoint security solutions. The network-based attack vector increases exposure for remote or hybrid work environments prevalent in Europe. Additionally, the absence of known exploits currently provides a window for proactive defense, but also means attackers may develop exploits rapidly once the vulnerability becomes widely known. Failure to address this vulnerability could result in regulatory penalties, reputational damage, and operational disruptions.
Mitigation Recommendations
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.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2023-11-27T00:00:00.000Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 68ff954cba6dffc5e200a747
Added to database: 10/27/2025, 3:52:44 PM
Last enriched: 11/26/2025, 4:21:21 PM
Last updated: 12/11/2025, 2:49:58 PM
Views: 132
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