Enhancing Site Safety Supervision Techniques in the Face of Evolving Threats
In today’s digital landscape, traditional site safety checks are no longer sufficient to detect the presence of website vulnerabilities and backdoors. The static approach, which relies on scanning for known security issues, has limitations in identifying subtle hacker attacks that employ unknown threats and vulnerabilities. These hidden threats, such as implanted backdoors, Trojan infections, and illegal control, can only be detected through more advanced methods.
The Shortcomings of Static Scan Detection
The static scan detection method, which involves feature matching security vulnerabilities, has several drawbacks:
- High false negatives: Many security threats go undetected due to the static nature of the scan.
- High false positives: The scan may flag legitimate traffic as malicious, leading to unnecessary alerts and resource allocation.
- Hidden threats: The static scan is unable to detect covert attacks, such as WEBSHELL backdoor variants, abnormal Trojans, and 0day samples.
Behavior-Based Anomaly Detection: A New Approach
To address the limitations of static scan detection, a behavior-based anomaly detection method is employed. This approach involves analyzing network traffic in real-time to identify abnormal behavior, including:
- Unusual patterns of access
- Suspicious traffic patterns
- Unknown or unexplained network activity
The behavior-based anomaly detection mode offers several advantages, including:
- Detection of known and unknown vulnerabilities
- Abnormal behavior traceability
- Early warning of potential attacks
- Ability to locate the source of attacks
- Detection of sites infected with viruses and the spread of events
Arnhem APT: A Game-Changing Early Warning Platform
Arnhem APT is an early warning platform that uses advanced technology to detect and analyze potential threats. By combining deep resolution and dynamic behavior analysis, Arnhem APT can detect attacks that traditional security products cannot. This platform offers several benefits, including:
- High accuracy in detecting malicious threats
- Early warning of potential attacks
- Ability to locate the source of attacks
- Detection of sites infected with viruses and the spread of events
The Future of Cybersecurity: Ming Yu APT
Ming Yu APT is a leading early warning platform that has been providing security services to governments, financial institutions, electric power companies, public security organizations, and military agencies for years. This platform relies on powerful cloud sample analysis capabilities and advanced detection technologies to provide users with valuable insights into potential threats.
In the future, Ming Yu APT will continue to improve its detection capabilities, providing users with a more comprehensive understanding of potential threats and their attack paths. This will enable users to make more informed decisions about their security strategies and take proactive measures to protect themselves against potential attacks.