The Cybersecurity Data Challenge
Security teams lean on Google dorking and SERP intelligence for attack-surface mapping, credential-leak hunting, and M&A due diligence. Running dorks manually hits CAPTCHAs within minutes; commercial ASM platforms price the signal at five figures despite the underlying data being public. Teams want a programmatic SERP layer plus Reddit and forum signal in one stack they can embed in Burp extensions, Nuclei pipelines, and internal ASM tools.
Built for These Teams
- In-house red teams at mid-market enterprises
- Bug bounty hunters running dork libraries across bounty scopes
- Attack-surface management vendors white-labeling search
- M&A security due diligence consultancies
Key Workflows
Dork library automation
Run a curated library of 200+ Google dorks across every acquired subsidiary in parallel; report only new findings versus baseline; feed into ticketing.
Credential-leak hunt
Pivot from SERP hits into Reddit and paste-site chatter to qualify leaks as live or historical. Alert to security on live-leak confirmation.
Subdomain and shadow IT mapping
Combine SERP dorking with passive DNS to maintain a living subdomain inventory per target; merge into the ASM dashboard.
Red-team OSINT prep
Before engagement kickoff, harvest public footprint, leaked docs, and social chatter; hand the red team a pre-briefed target dossier.
Why Cybersecurity Teams Choose Scavio
- No CAPTCHAs or IP bans blocking dork pipelines
- Deterministic SERP schema fits tooling integration
- Reddit signal qualifies leaks before escalation
- Works inside Burp extensions, Nuclei templates, and custom tooling
- Predictable per-call pricing fits procurement
Quick Start Example
Here is a Python example running a cybersecurity query:
import requests
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key"},
json={
"platform": "google",
"query": "site:acme.com inurl:admin filetype:env",
},
)
data = response.json()
# Process results for your cybersecurity workflow
for item in data.get("organic_results", data.get("products", []))[:10]:
print(item)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
Scavio is designed for teams that need reliable, structured data at scale. Start with the free tier, build your workflow, then scale when you are ready. No lock-in. No complicated setup. Read the quickstart to get your API key and first response in under two minutes.