Threat Intelligence Integration in Cloudflare WAF

SOC analysts regularly face the challenge of disparity between intelligence availability and its application speed. Teams may have access to information about IP addresses used by known cybercriminal groups (e.g., for incidents like RaccoonO365 or Tycoon 2FA) for infiltrating adjacent markets.

However, automating the blocking of these network nodes was technically challenging without writing manual rules. This created a classic dilemma for traditional firewalls: the choice between monitoring and blocking mode. When the system simply rejected traffic in blocking mode, specialists lost multidimensional visibility of the event, leaving the infrastructure vulnerable at the policy adaptation stage.

Cloudflare’s response to these challenges was the implementation of an “always-on detection” framework. This architecture allows for the complete separation of the threat identification process from direct mitigation mechanisms. Such a method analyzes HTTP requests in parallel, enriching them with context and detailed metadata before making a decision to block the connection.

From now on, the WAF gains the ability to recognize sessions at early stages: identifying subjects through hacker group names, identifying targets using previously attacked industry metrics, and categorizing vectors.

For the technical implementation of the adaptive model, the WAF mechanism received new sets of “cf.intel” variables that work with arrays of IP reputation information. Since one network source can generate multiple threat vectors simultaneously, the environment uses the “any()” function to quickly check all saved session attributes. Engineers have access to the following fields: • “cf.intel.ip.attacker_names” — identifiers of known groups; • “cf.intel.ip.target_industries” — industries that have been previously targeted; • “cf.intel.ip.datasets” — data source in the solution ecosystem (e.g., DDoS or WAF).

The crucial technological advantage is executing the query with algorithm complexity O(1). Distributing these arrays across all global data centers of the platform ensures that processing delay remains at microsecond levels even when matching millions of compromise indicators.

The value of the enriched information context is most convincingly revealed in real corporate networks. For example, to protect the financial sector, an enterprise can build a WAF rule that rejects any traffic from resources associated with the BLACKBASTA group, which previously targeted exclusively banking institutions. The mechanism’s logic is based on the intersection of the attacker’s parameters and their historical target in a single rule. The architecture also reliably filters mass scans, allowing companies to isolate transactions from countries with increased DDoS attack activity, effectively reducing the destructive load on servers.

The model for managing new rules is fully adapted to the needs of modern teams. The “cf.intel” variables systematically support Infrastructure as Code (IaC) approaches, allowing for deployment management through standard API requests or Terraform modules.

For security operators working with graphical interfaces, the possibility of creating protective policies with a single click directly from the Threat Events dashboard is implemented. All corresponding triggers are recorded in the Security Analytics system, where engineers receive detailed logs with specific identifiers for rapid post-incident audit.

Summarizing the above, Cloudflare’s updated functionality forms a technological response model where decision-making at the network edge is closely tied to global intelligence. The direct use of intelligence by the WAF solution relieves teams from the burden of manually transferring indicators and establishes a preventive barrier against complex targeted campaigns. At the same time, zero-delay architecture ensures the high performance of corporate resources.

iIT Distribution, as the official distributor of Cloudflare solutions, provides comprehensive expert assistance in designing and deploying modern cybersecurity systems. The iITD team helps partners and customers effectively integrate Cloudforce One’s functional capabilities into existing infrastructure, support projects at all stages, and configure corporate protection according to current global security standards.