Below is a comprehensive table of IP addresses identified in our database associated with various threat levels. Use this resource to check activity and configure security measures appropriately.
Advanced Threat Defense systems are designed to detect, analyze, and respond to sophisticated cyber threats that standard security measures may not detect. These systems use a combination of real-time monitoring, machine learning, and strategic response protocols to protect digital assets.
Advanced threat defense mechanisms involve complex strategies to protect networks against multi-layered security threats and attacks.
This section categorizes activities originating from Autonomous System Numbers (ASNs) that are known for providing hosting services. These ASNs often include data centers and cloud providers, which inherently pose a baseline level of risk due to the high volume of traffic they manage and the diverse nature of the hosted content.
Our systems constantly monitor ASNs for any unusual behavior, aiding in the early detection of potential threats.
Standard data flows and access requests are monitored due to their origins, though they typically show no malicious intent.
Detected anomalies are analyzed further before classifying them as threats, with our teams assessing if escalation in threat level is necessary.
This section addresses the elevated threat level posed by activities that demonstrate atypical or non-standard behaviors which could potentially compromise web security. These include malformed requests, dynamic fingerprint changes, and excessive resource requests.
Monitoring traffic that deviates from standard web protocols to prevent exploits.
Closely tracking attempts to alter digital identities to block evasion techniques.
Implementing rate limiting to safeguard against overwhelming service requests.
This section categorizes the most dangerous cyber threats that involve sophisticated evasion technologies and automated tools. These are activities that not only attempt to bypass standard security protocols but also aim to automate attacks at scale.
Identifies and blocks traffic from tools like Selenium, PhantomJS, and headless browsers which are often used in scripted attacks.
Tracks and mitigates bots and automated scripts that perform unauthorized actions or data scraping.
Focuses on traffic that has triggered anti-bot defenses, indicating potential automated attacks or other malicious activities.