THREAT INTELLIGENCE // CHIMERASCOPE
Cross-referenced analysis from ten authoritative intelligence databases, mapped to MITRE ATT&CK framework with real-world exploit prediction. Enriched, correlated, actionable.
We analyze threat scenarios, campaigns, and incidents through a proprietary multi-perspective intelligence fusion engine. Every indicator of compromise is automatically enriched against ten authoritative databases, mapped to the MITRE ATT&CK framework, and synthesized into a single actionable intelligence product.
This is not automated scanning — it is structured intelligence analysis that correlates findings across multiple independent analytical perspectives to identify consensus, discrepancies, and blind spots that single-source analysis misses.
Comprehensive threat assessment synthesized from multiple independent analytical perspectives. Includes executive summary, confidence-weighted findings, contested assessments, and intelligence gaps. Delivered as encrypted HTML with full evidence chain.
Every IP address, domain, hash, URL, and CVE identifier extracted from the analysis is automatically enriched across ten authoritative sources: reputation scoring, abuse history, infrastructure exposure, malware family attribution, exploitation probability, and internet noise classification. Zero manual lookup required.
All identified techniques and procedures mapped to MITRE ATT&CK framework with sub-technique granularity. Coverage gaps identified. Detection priority recommendations for each technique based on prevalence and impact.
Every CVE identifier enriched with CVSS base score, severity rating, affected products, and publication date from NIST NVD, real-world exploit prediction from EPSS, and active-exploitation status from CISA KEV. Goes beyond theoretical CVSS to prioritize vulnerabilities with confirmed exploitation in the wild.
Our analysis cross-references indicators against ten authoritative databases across four categories — government vulnerability intelligence, commercial reputation, community threat exchange, and internet infrastructure — each providing a different dimension of threat context:
The official U.S. government repository of vulnerability data maintained by the National Institute of Standards and Technology. Provides CVSS scoring, severity classification, affected product identification, and remediation references for every known CVE. The same source used by BSI CERT-Bund, ENISA, and CISA for coordinated vulnerability disclosure.
Maintained by the U.S. Cybersecurity and Infrastructure Security Agency, the federal body responsible for national cyber defense. The KEV catalog lists vulnerabilities with confirmed active exploitation in the wild — not theoretical risks, but real-world threats. U.S. federal civilian executive branch agencies are required to remediate KEV-listed vulnerabilities under Binding Operational Directive 22-01, making this the de-facto priority list for enterprise patch management.
Maintained by the Forum of Incident Response and Security Teams (FIRST.org), the same industry standards body behind CVSS. EPSS provides daily-updated probability scoring for the likelihood of exploitation in the wild within the next 30 days. Complements static CVSS severity with dynamic, data-driven exploit prediction — enabling vulnerability prioritization based on real-world threat likelihood rather than theoretical severity alone.
Aggregates detection results from 70+ security vendors and sandboxes. Every IP address and domain is checked for malicious activity, providing reputation scoring based on the broadest detection consensus available in the industry.
Internet-wide infrastructure intelligence identifying exposed services, open ports, technology fingerprints, and known vulnerabilities on target IP addresses. Reveals the technical attack surface that complements reputation-based analysis.
Crowd-sourced IP abuse reporting database with confidence scoring. Identifies IP addresses involved in brute force attacks, port scanning, spam, and other malicious activities reported by network operators worldwide.
Internet noise classification engine that distinguishes between targeted attacks and mass scanning. Identifies whether an IP address is a known scanner, a benign service, or genuinely suspicious — reducing false positives in threat assessment.
Operated by abuse.ch, a non-profit threat intelligence initiative partially funded by the Swiss federal government. URLhaus maintains one of the largest open databases of malicious URLs actively used for malware distribution. Continuously updated from community contributions and automated analysis, reaching tens of thousands of confirmed malicious URLs.
Abuse.ch indicator-of-compromise sharing platform with an active contributor network spanning national CERTs, security researchers, and industry partners. Cross-validates IOCs against observations from independent analysts worldwide — confirming or contradicting findings from commercial databases.
Abuse.ch malware sample repository with family attribution. File hashes extracted from analysis are cross-referenced to identify known malware families, related campaigns, and threat-actor toolchains — enabling attribution context that pure hash-reputation services cannot provide.
Analyze known or suspected advanced persistent threat campaigns. Identify infrastructure patterns, TTPs, and IOCs with attribution confidence scoring. Map campaign evolution over time with community-sourced IOC validation.
Rapid multi-perspective triage of security incidents. Identify attack vectors, containment priorities, and evidence preservation requirements. NIST IR framework alignment with KEV-prioritized vulnerability context.
Go beyond CVSS base scores. Contextualize vulnerabilities with EPSS exploit prediction, CISA KEV active-exploitation status, and sector-specific risk factors. Prioritize patching by real-world threat relevance — not theoretical severity.
Analyze third-party dependencies, software supply chain indicators, and vendor compromise patterns. Identify risks from upstream providers through multi-source correlation before they become incidents.
Hash-based attribution to known malware families via MalwareBazaar correlation. Identify related samples, campaign infrastructure, and threat-actor toolchains — converting isolated IOCs into campaign-level intelligence.
Cross-reference suspicious URLs against URLhaus and community threat exchanges. Identify known malicious distribution infrastructure, active phishing campaigns, and compromised legitimate services used for malware staging.
Single-source threat intelligence has known blind spots. Commercial reputation services excel at broad coverage but may miss newer or region-specific threats. Government databases are authoritative for vulnerability data but do not capture dynamic indicators like malicious URLs or scanner behavior. Community threat exchanges provide current, diverse observations but lack the authority of standards bodies. Combining ten authoritative sources across four categories — government, standards-body, commercial, and community — produces findings that are both trustworthy and comprehensive. Every indicator in the final report carries source attribution, confidence scoring, and cross-reference status, enabling transparent analysis rather than black-box conclusions.
Intelligence reports are delivered as self-contained encrypted HTML with full evidence chain, IOC enrichment tables, MITRE ATT&CK mapping, CVSS vulnerability scoring with EPSS exploit prediction, and CISA KEV active-exploitation context. Machine-readable JSON export available for SIEM integration.
Standard turnaround: 24–48 hours from submission. Priority analysis available for active incidents.
Submit a threat scenario, campaign identifier, or incident description. Our intelligence fusion engine will analyze it across multiple perspectives and deliver an enriched report.
Describe the threat scenario you need analyzed. All submissions are processed through our encrypted infrastructure.