Jobs to Be Done
- Run Google dorks across entire target portfolios programmatically
- Map attack surface for M&A due diligence
- Discover leaked credentials, keys, and buckets
- Identify rogue subdomains and shadow IT
- Feed dork results into Burp, Nuclei, and custom tooling
Common Workflows
Dork library execution
Run a curated library of 200+ Google dorks across every acquired subsidiary in parallel; report new findings only.
Example: for dork in library: scavio.google(dork) -> diff
Credential-leak hunter
Pivot from dork hits to Reddit and paste-site chatter to qualify whether a credential leak is active or historical.
Example: scavio.google('filetype:env acme') + scavio.reddit(domain)
Subdomain inventory
Combine Scavio SERP with passive DNS to maintain a living subdomain inventory per target; integrate with ASM dashboard.
Example: scavio.google('site:acme.com -www') -> asm.inventory
Bounty hunt triage
Automate first-pass dorks per new bounty scope; queue qualified hits for manual exploit verification.
Example: new_scope -> auto_dorks -> triage_queue
Pain Points Scavio Solves
- Google rate-limits and CAPTCHAs kill dork pipelines
- ASM platforms cost five figures for features a dorker has free
- No deterministic SERP schema for tooling integration
- Per-platform scrapers fragment the OSINT stack
Tools Security Researchers Pair With Scavio
Burp Suite, Nuclei, Amass, ProjectDiscovery, Have I Been Pwned, GitHub Advanced Security. Scavio returns structured JSON that fits into any of these tools.
Quick Start
import requests
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key"},
json={"query": "scavio.google('site:acme.com inurl:admin')"},
)
data = response.json()
# Analyze results for your workflow
for result in data.get("organic_results", [])[:10]:
print(result["title"], "-", result["link"])Platforms You Will Use
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
YouTube
Video search with transcripts and metadata