Raccoon is a Python-based reconnaissance and information-gathering scanner that automates DNS, WHOIS, TLS, port, subdomain, and web application enumeration for authorized security assessments.
| Tool | evyatarmeged/Raccoon — high-performance offensive security tool for reconnaissance and information gathering |
| Category | Reconnaissance automation and vulnerability scanning (Python, asyncio) |
| Primary Use | Consolidating DNS, WHOIS, TLS, Nmap, subdomain, and web enumeration into a single run against in-scope targets during authorized assessments |
| Safe Use | Intended for penetration testers and security professionals running scans exclusively against systems they are explicitly authorized to test, such as client engagements with written scope, lab environments like HTB, and internal attack-surface reviews |
| Telemetry Note | The tool's scans generate highly visible footprint traffic: Nmap port sweeps, mass subdomain brute force, and URL fuzzing requests against the target's web servers, all easily observed by WAF logs, rate limiting, and network monitoring — especially since WAF detection itself is a scan module |
Raccoon occupies a well-established niche in the offensive toolkit ecosystem: the all-in-one reconnaissance wrapper. Written in Python by evyatarmeged and sitting at over four thousand stars with an MIT license, it packages the tedious first hour of a penetration test — DNS lookups, WHOIS, TLS inspection, port scanning, subdomain enumeration, and web application fingerprinting — into a single invocation. The README positions it as a tool built around simplicity, and that philosophy shows in the click-style usage surface where one command with a handful of flags produces a structured output directory per target. For consultants who repeat the same recon checklist across engagements, that consolidation is the entire value proposition.
Architecturally, the most interesting design decision is the use of asyncio. The README explains that most of Raccoon's scan modules are independent of each other — WHOIS results don't feed the port scan, the TLS probe doesn't depend on subdomain enumeration — so the tool runs them concurrently rather than sequentially. This is what the project means by "high performance": not that any individual module is faster, but that the wall-clock time of a full profile is bounded by the slowest module rather than the sum of all of them. The two exceptions to this async model are the explicitly threaded operations, URL fuzzing and subdomain enumeration, which default to 25 threads via the -T flag.
The module inventory reads like a checklist of external reconnaissance fundamentals. On the infrastructure side, Raccoon queries configurable DNS record types (defaulting to A, MX, NS, CNAME, SOA, and TXT via -d), retrieves WHOIS registration data, performs visual DNS mapping through DNSDumpster, and extracts TLS details including supported ciphers, protocol versions, certificate metadata, and SAN entries. The --tls-port flag lets operators point TLS queries at nonstandard ports, a small but practical touch for engagements involving services on alternate listeners.
Port and service discovery is deliberately delegated to Nmap rather than reimplemented, and Raccoon requires Nmap as a hard prerequisite alongside OpenSSL for the TLS modules. The -sc and -sv flags map directly to Nmap's -sC and -sV, while -f combines both for a fuller profile. More notable is the --vulners-nmap-scan option, which swaps the standard port scan for an nmap_vulners.nse-based run that correlates detected service versions against known vulnerability references — a version-detection and matching exercise, not an exploitation step. Operators can supply a custom NSE script path via --vulners-path if they maintain their own.
Subdomain enumeration is where the tool shows its multi-source mindset. Rather than relying on a single technique, it combines Google dorking, DNSDumpster queries, SAN certificate discovery, and brute force from a wordlist. The default lists for both subdomain enumeration and URL fuzzing come from SecLists, with override paths available through --subdomain-list and -w. This layered approach mirrors how manual operators work — certificate transparency data and passive sources catch historical names that brute force misses — and the automation simply removes the copy-paste overhead between tools.
The web application modules are equally broad. Raccoon performs CMS detection, harvests web server banners and X-Powered-By headers, pulls robots.txt and sitemap files, inspects cookies, extracts all fuzzable URLs and HTML forms, and scrapes email addresses from the target's pages. One distinctive capability is the S3 module, which checks the target for vulnerable — meaning publicly readable or misconfigured — AWS S3 buckets and then enumerates their contents for sensitive files. Storage misconfiguration checks are frequently the highest-signal finding in a recon pass, and having it bundled here saves a separate aws tool invocation.
Raccoon also handles the adversarial-awareness layer of recon. WAF detection identifies known web application firewalls in front of the target, which informs an operator about what their fuzzing traffic will face. For routing, --tor-routing pushes HTTP traffic through Tor on port 9050, while --proxy and --proxy-list offer single or rotating proxy egress with random selection per request. The README is candid about the trade-off: all anonymous routing options significantly slow total runtime. From a defender's perspective, this is worth knowing — proxied recon traffic still lands on your WAF and load balancer logs, just from less attributable sources.
Installation is straightforward for a Python 3.5+ codebase: pip install raccoon-scanner gets the stable release, with raccoon [OPTIONS] [TARGET] as the entry point. For those tracking development, git clone https://github.com/evyatarmeged/Raccoon.git followed by python setup.py develop keeps the installed command in sync with source changes, and the README thoughtfully documents the difference between install and develop modes. Docker is supported with a build-and-run workflow, and macOS users need brew install coreutils to provide gtimeout for command timeouts.
Output handling reflects an operator's mental model: every scan writes to a target-specific folder, with individual modules producing individual files. This structure matters more than it might seem — recon output that isn't cleanly separated becomes unusable when you're three days into an engagement and need the TLS findings from the first night. The roadmap acknowledges current gaps here, with JSON output listed as a TODO alongside multi-host input from file, CIDR and IP-range support, and rate-limit evasion. The absence of machine-readable output is the most significant limitation for teams that feed recon into downstream automation like asset databases or vulnerability management pipelines.
The roadmap also hints at the project's direction: an owasp branch with expanded web application attacks and scans, additional storage providers beyond S3 for the vulnerable-storage module, and improved WAF coverage. The storage expansion in particular tracks the industry shift toward multi-cloud misconfiguration exposure. These are planned rather than shipped features, so evaluators should treat the current version 0.8.5 as primarily a reconnaissance and information-gathering tool, with attack capability ambitions still in development.
From a defensive standpoint, Raccoon is a useful blue-team reference precisely because its fingerprint is loud and well-characterized. A full run produces simultaneous DNS queries, Nmap connection patterns, high-rate HTTP fuzzing with SecLists-derived paths, and subdomain brute force — a composite signal that correlation rules can key on. The tool's own WAF detection module is a reminder that defenders can observe the same reconnaissance the tool performs, and security teams running Raccoon against their own authorized infrastructure gain a concrete picture of what their monitoring does and does not catch during an external sweep.
In summary, Raccoon is best understood as an orchestration layer over proven primitives — Nmap, OpenSSL, SecLists, public passive-intelligence sources — unified by asyncio concurrency and per-module file output. It doesn't invent new reconnaissance techniques; it removes the friction of chaining six tools manually, which is exactly what a consultant or authorized internal assessor needs during the opening phase of an engagement. Its age shows in the missing JSON output and single-target limitation, but for individual-target profiling in a lab, HTB-style challenge, or scoped penetration test, it remains a competent and widely-used entry in the recon tooling category.
evyatarmeged/Raccoon.Educational analysis for authorized security professionals. Use only in controlled, authorized environments.
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