Your secrets, your code, your customer data — all the places you didn't mean to put them.
Public GitHub repos accidentally pushed by contractors. S3 buckets misconfigured during a migration. PDFs indexed by Google with PII inside. ShadowMap continuously monitors public sources for data and secrets attributable to your organisation, and tells you whose laptop or whose cloud account it came from.
In the first 30 days, average customer surfaces 5–15 active secret leaks they didn't know about — usually in repos owned by ex-employees or contractors.
What it discovers
Discovers, prioritises, and routes — automatically.
Code repositories, cloud buckets, paste sites, and document leaks — surfaced with secret scanning and ownership attribution.
Public-repo secret scanning
Continuous scanning of GitHub, GitLab, and Bitbucket public repos for AWS keys, API tokens, database creds, and internal-domain leaks attributable to your org.
Cloud-storage exposures
Open S3, GCS, Azure Blob, DigitalOcean Spaces, and exposed Elasticsearch / MongoDB indexed by your domain or staff email.
Paste-site monitoring
Pastebin, ghostbin, deepai, and 30+ other paste sites scanned for content matching your brand, customer names, or staff emails.
Indexed documents
Google + Bing dorking for filetype-specific exposures (PDF, XLS, DOC) hosted on your subdomains or referencing your customer data.
Internal-tool exposures
Misconfigured Jenkins, Jira, Confluence, GitLab CE, and similar internal tools indexed by Shodan or Censys.
Ownership attribution
Each finding traced back to the contributor, repo owner, cloud account, or asset that produced it — so remediation has a name attached.
Severity by impact
A leaked AWS root key in a public repo = page-the-CISO. A misconfigured staging Jenkins on a sandbox account = file a ticket. ShadowMap separates them automatically.
Auto-ticket for revocation
High-severity findings auto-create rotation/revocation tickets routed to the owning team, with the exact file:line reference and rotation steps.
How it works
From seed to remediation, in four steps.
Seed
Use your asset graph from Attack Surface + employee email patterns + brand keywords as the search seed.
Crawl
Continuous crawling of public-repo APIs, paste sites, search indexes, and cloud-bucket directories.
Match
Pattern + entropy detection for secrets; content matching for branded data; ownership attribution from commit metadata.
Triage
High-severity → page; medium → ticket; low → digest. Auto-revocation playbooks for known cloud-creds providers.
In the Platform
Composes with
ShadowMap modules share one asset graph. The signals from this module sharpen — and are sharpened by — the modules below.
Attack Surface
Continuous discovery of external assets, ports, services, mobile apps, and cloud exposures — prioritised by exploitability.
DRK-01 · IntelligenceDark Web
Stealer logs, leaked credentials, ransomware victim posts, and threat-actor marketplaces — monitored continuously and matched to your assets.
BRP-01 · ExposureBrand Protection
Domain spoofs, social impersonation, phishing kits, and look-alike apps — detected and taken down before customers are hit.
See Data Exposure on your own assets.
A 30-minute live walk-through with a ShadowMap engineer on your own domains. We map you live; you keep the report whether or not you choose to engage.