Advanced Threat Defense

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Threat Database

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.

Our last five detected IPs

Overview of Advanced Threat Defense

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.

Understanding Advanced Threat Defense

Advanced threat defense mechanisms involve complex strategies to protect networks against multi-layered security threats and attacks.

Low Threat Level

Managed Monitoring

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.

Routine Surveillance

Our systems constantly monitor ASNs for any unusual behavior, aiding in the early detection of potential threats.

Low Risk Indicators

Standard data flows and access requests are monitored due to their origins, though they typically show no malicious intent.

Response Measures

Detected anomalies are analyzed further before classifying them as threats, with our teams assessing if escalation in threat level is necessary.

Medium Threat Level

Active Mitigation

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.

Malformed Requests

Monitoring traffic that deviates from standard web protocols to prevent exploits.

Changing Fingerprints

Closely tracking attempts to alter digital identities to block evasion techniques.

Request Spamming

Implementing rate limiting to safeguard against overwhelming service requests.

High Threat Level

Critical Response Required

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.

Emulation Frameworks

Identifies and blocks traffic from tools like Selenium, PhantomJS, and headless browsers which are often used in scripted attacks.

Automated Agents

Tracks and mitigates bots and automated scripts that perform unauthorized actions or data scraping.

Anti-bot Protection Failures

Focuses on traffic that has triggered anti-bot defenses, indicating potential automated attacks or other malicious activities.