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THREAT-Recon-ExternalVulnScannerBurstDetection IBM QRadar · QRadar

Detect External Vulnerability Scanner Burst/Sweep Against Internet-Facing Assets in IBM QRadar

This detection complements the general T1595.002 Vulnerability Scanning coverage with a focus on a specific behavioral signature: a single external source rapidly sweeping a high volume of distinct URIs, query parameters, or ports against internet-facing web/application assets within a short window. Rather than matching on scanner tool names or user-agent strings (which are trivially spoofed or stripped), this detection keys on rate and breadth — a burst of requests from one source IP hitting many unique paths/params/ports on a public-facing WAF, reverse proxy, or perimeter firewall in a tight time window is a strong behavioral indicator of automated vulnerability scanning regardless of tooling. Sandworm Team, APT41, and Magic Hound have all conducted large-scale internet-facing vulnerability scanning sweeps as a precursor to exploitation of public-facing applications (T1190), and this pattern is equally produced by commodity scanners, bug bounty researchers, and unauthorized red team activity. The detection is intentionally tool-agnostic and behavior-based — no CVE or vulnerability-specific payload matching is performed here since that is scan-target-dependent and better covered by WAF/IDS signature rules.

MITRE ATT&CK

Tactic
Reconnaissance

QRadar Detection Query

IBM QRadar (QRadar)
sql
SELECT
    DATEFORMAT(starttime, 'YYYY-MM-dd HH:mm:ss') AS EventTime,
    UTF8(sourceip) AS SourceIP,
    COUNT(*) AS RequestCount,
    UNIQUECOUNT("URL") AS UniqueUris,
    UNIQUECOUNT(destinationport) AS UniqueDestPorts
FROM events
WHERE LOGSOURCETYPENAME(logsourceid) IN ('Universal LEEF', 'L7 Firewalls', 'Web Application Firewall')
  AND "URL" IS NOT NULL
  AND starttime > NOW() - 3600000
GROUP BY SourceIP
HAVING UNIQUECOUNT("URL") >= 40 OR COUNT(*) >= 150
ORDER BY RequestCount DESC
LIMIT 1000
medium severity medium confidence

QRadar AQL query aggregating WAF/firewall events by source IP over a 1-hour window, surfacing sources whose unique URI count or total request count exceeds the burst thresholds — the same rate-and-breadth logic as the KQL/SPL versions, expressed as a GROUP BY/HAVING aggregation over QRadar's normalized URL and destination port properties.

Data Sources

IBM QRadar SIEMWeb Application Firewall logs via LEEF/CEFPerimeter firewall logs via WinCollect/Syslog

Required Tables

events

False Positives & Tuning

  • Authorized vulnerability management scans from documented scanner IP ranges
  • Search engine crawlers generating high URI uniqueness during a full site crawl
  • Approved bug bounty or pentest engagement traffic

Other platforms for THREAT-Recon-ExternalVulnScannerBurstDetection


Testing Methodology

Validate this detection against 2 adversary techniques from Atomic Red Team. Each test below lists the behaviour to exercise and the telemetry you should expect to see. Executable commands and cleanup steps are available with Pro.

  1. Test 1Simulate External Burst Scan Against a Web Endpoint with ffuf

    Expected signal: WAF/reverse-proxy access log entries showing 60 requests from the local test source in a short window, each with a distinct URI path (/test-path-1 through /test-path-60) and query parameter. If a firewall/CEF-normalized log pipeline is present, this appears as CommonSecurityLog entries with a shared SourceIP and high UniqueUris count within the burst window.

  2. Test 2Simulate Multi-Port Sweep Against a Single External-Facing Host

    Expected signal: Firewall/NetFlow connection logs showing a burst of connection attempts from the source IP to 12 distinct destination ports on the target host within seconds. Sysmon Event ID 3 (Network Connection) on the target if endpoint monitoring is present.

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