SpiderFoot Review
Map a target's full digital footprint automatically — domains, IPs, emails, names, and ASNs across 500+ sources.
Quick Verdict
Analysts and investigators who need automated broad-spectrum reconnaissance across a target organization and already understand the sources SpiderFoot aggregates.
Pros
- + Recursive entity pivoting extends collection automatically — discovered assets seed further queries without manual input
- + Seven seed input types cover both infrastructure recon and identity investigation in a single tool
- + Passive mode keeps all queries off target infrastructure — appropriate for scoped and sensitive engagements
- + Self-hosted open source version stores all data locally with no telemetry
- + REST API and CLI support pipeline integration and scheduled automated workflows
Cons
- − Comprehensive scans take two to four hours — wrong tool for fast lookups
- − No confidence scoring on results — noise triage requires experienced analyst judgment
- − High-value modules are API-gated; unconfigured installs return significantly thinner results
- − Silent module failures produce invisible coverage gaps unless actively audited post-scan
SpiderFoot: Automated OSINT Reconnaissance
Running OSINT manually at scale breaks down quickly. One target is manageable, but ten targets with weekly refresh cycles aren't.
SpiderFoot kicks in when collection gets out of hand. It automates gathering from over 500 sources. With one input, everything is correlated, and you get structured results. Interpretation is up to you.
What SpiderFoot Does
SpiderFoot starts with a seed, it fans out. A graph builds. New entities trigger more modules. The graph grows till sources dry up or you stop it.
The tool has over 500 modules that pull data from various sources, such as DNS enumeration, certificate transparency, WHOIS, threat feeds, breach databases, dark web chatter, port scans, geolocation, ASN and netblock data, and malware ties.
Anything can be a seed: domain names, IP addresses, email addresses, usernames, person names, phone numbers, ASNs, subnets. Most tools focus on domains, but SpiderFoot covers infrastructure and identity in one go.
The output is a graph, not a list. Relationships show up: domains on the same server, emails in breaches tied to suppliers, reused usernames. Graphs reveal patterns that tables miss.
Core Features
Open source vs SpiderFoot HX. Open source SpiderFoot runs on your server, with a full module set and no licensing limits. Your data stays on your infrastructure.
SpiderFoot HX is the cloud version, offering the same core features but with a different operation model. HX adds team features, including shared investigations, managed scans, scheduled scans, alerts on new target data, and a polished UI.
The feature gap between the two is not huge, but operational differences are significant.
CLI and web UI. The web UI allows you to create scans, tweak modules, browse results, and export reports, and it runs locally after setup. Although not modern, it works effectively.
The CLI runs scans without a web server, making it best suited for scripts and automated workflows. The REST API at /api enables external tools to trigger scans and pull results, which is useful for teams integrating SpiderFoot into larger automation systems.
Module ecosystem. About a third of modules work out of the box, requiring no authentication. These modules utilize crt.sh, DNSdumpster, HackerTarget, and public threat feeds, providing a baseline.
Modules with good output require API keys, such as Shodan, Hunter.io, VirusTotal, SecurityTrails, HaveIBeenPwned, GreyNoise, and FullHunt. Most professionals already use these services. Adding keys to SpiderFoot is easy, but configuration matters, as unconfigured output can be poor.
How Investigators Use It
Typical workflow. Define your seed, pick a scan template, hit start. You can then do something else and come back in a few hours to triage the results. That's SpiderFoot - you don't need to babysit it, just let it run.
Passive vs active modes. Scan templates determine what hits the target. In passive mode, SpiderFoot only queries third-party sources with existing data, without making DNS queries or HTTP requests, so the target isn't probed. This mode is suitable for sensitive operations. For more aggressive scanning, use Footprint and Investigate templates, which add active checks. You can start in passive mode and become more aggressive as needed, using options such as DNS brute-force.
Output and correlation. Results are grouped by type and module. The entity type view provides an overview of IPs, emails, and threat hits. The module view audits module performance, showing which modules worked and which didn't. If a module returns no results, it usually indicates a bad API key or rate limit. SpiderFoot offers export options in JSON, GEXF, CSV, and HTML formats. When checking the module view, be sure not to misread empty results.
Pricing and Access
The open source free tier offers a full module set, with no licensing cost. It runs on Python 3.7+ on any platform, and data stays on-prem. This option works for sensitive cases, regulated industries, and teams with strict data controls. You can obtain it from GitHub, not pip, and receive source list updates as soon as possible.
git clone https://github.com/smicallef/spiderfoot
cd spiderfoot
pip3 install -r requirements.txt
python3 sf.py -l 127.0.0.1:5001
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Kali Linux comes with SpiderFoot pre-installed. Check the version, it often lags.
SpiderFoot HX costs around $299/month for enterprises. Small teams or solo investigators can self-host for free.
HX is worth it with a lot of scans, as local infrastructure gets pricey. If multiple analysts are sharing workspaces or you need regular target monitoring, HX pays for itself.
Self-hosting isn't just about cost; it's about control. Targets are often sensitive. With self-hosting, your servers, your data, queries, entities, and results are all in-house. That matters.
Verdict
SpiderFoot solves a specific problem: automated, broad-spectrum reconnaissance. Manual enumeration is impractical. Recursive pivoting and cross-source correlation produce a qualitatively different result set. Relationships are visible, results are delivered faster.
Threat intel analysts use SpiderFoot for recurring recon on targets. Pentesters inventory external attack surfaces. Corporate investigators do org due diligence at scale. OSINT practitioners automate multi-entity subjects. Analysts get more done.
SpiderFoot has limitations. Runs can take hours. No confidence scoring. Human analysis is still needed. The tool helps analysts but doesn't replace them.
Compared to alternatives, theHarvester is faster for initial enumeration but lacks correlation. Maltego offers richer graphs but costs more. Recon-ng is lighter but has fewer modules. SpiderFoot balances breadth, automation, and cost. It has passive mode, API key configuration, and module coverage checks.
SpiderFoot shines in threat intelligence, external attack surface mapping, multi-entity OSINT investigations, and pentest recon at scale. Key features include passive mode, API key configuration, and module coverage checks. The tool is on GitHub at smicallef/spiderfoot and can be hosted at spiderfoot.net.
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This review reflects testing as of 2026-04-05. OSINT tools change frequently — check the vendor's current documentation for pricing and feature updates. Report an error →