Detecting DLL hijacking with ML | Kaspersky official blog
Source Kaspersky Security Blog
Description
The Kaspersky Unified Monitoring and Analysis Platform can now detect DLL hijacking using an ML model.
Impact
For European organizations, DLL hijacking poses a significant risk as it enables attackers to execute malicious code stealthily within trusted processes, potentially leading to unauthorized access, data exfiltration, or lateral movement within networks. Critical infrastructure, financial institutions, and large enterprises running Windows environments are particularly vulnerable due to their reliance on legacy applications and complex software ecosystems where DLL hijacking can be exploited. The difficulty in detecting these attacks with traditional endpoint protection increases the risk of prolonged undetected breaches. The integration of Kaspersky’s ML-based detection into SIEM platforms enhances visibility and response capabilities, reducing dwell time and limiting potential damage. However, organizations not using advanced detection tools or relying solely on signature-based defenses remain exposed. The threat also complicates compliance with European data protection regulations (e.g., GDPR) if breaches occur undetected. Additionally, the stealthy nature of DLL hijacking can facilitate supply chain attacks or targeted espionage campaigns, which are of strategic concern in the European geopolitical context. Overall, the impact includes potential confidentiality breaches, integrity compromises, and operational disruptions, though availability impact is generally limited unless combined with other attack vectors.
Defensive guidance
European organizations should adopt a multi-layered defense strategy that includes deploying advanced detection solutions like Kaspersky’s Unified Monitoring and Analysis Platform with the integrated ML model for DLL hijacking detection. Regularly audit and enforce strict DLL integrity and digital signature verification policies to prevent unauthorized modifications or replacements. Implement application whitelisting and restrict execution privileges to minimize the risk of malicious DLL execution. Conduct frequent threat hunting exercises focusing on DLL load events and anomalous process behaviors using enriched telemetry data. Maintain up-to-date software and patch known vulnerabilities that could facilitate DLL hijacking. Educate security teams on the nuances of DLL hijacking techniques and the importance of monitoring indirect indicators such as unusual DLL paths or renamed files. Integrate SIEM alerts with incident response workflows to enable rapid investigation and containment. Finally, collaborate with threat intelligence providers to stay informed about emerging DLL hijacking tactics and update detection models accordingly.