Skip to main content
Back to Use CasesSecurity & Risk

Detect Zero-Day Discussions Before the CVE Drops

Build a security intelligence system using Xpoz MCP and Claude that monitors vulnerability discussions across social platforms, giving your team early warning of potential threats before official CVE publication.

Detect Zero-Day Discussions Before the CVE Drops

The Problem

Security teams face a critical timing disadvantage in vulnerability management. By the time a CVE is published and appears in your vulnerability scanner, attackers may have already weaponized the exploit.

Information lag

Security researchers often discuss vulnerabilities on Twitter and Reddit days or weeks before official CVE publication

Signal buried in noise

Thousands of security-related posts daily make manual monitoring impractical

Fragmented sources

Vulnerability discussions happen across multiple platforms—Twitter, specialized forums, and researcher blogs

Missing context

Raw CVE data lacks the real-world exploitation context that researchers share in social discussions

Limited API access

Building custom monitoring requires obtaining and managing API credentials from multiple platforms

The Workflow

Transform social media chatter into actionable security intelligence with a three-stage agentic workflow.

Example Queries

Ask Claude in natural language. Here are some examples with the underlying API calls:

Find recent vulnerability discussions from security researchers

>"Search Twitter for posts containing "vulnerability" OR "0day" OR "exploit" from the past 7 days. Include fields: text, authorUsername, createdAtDate, likeCount, retweetCount. Focus on posts with significant engagement."

countTweetsClaude uses countTweets to find recent vulnerability discussions from security researchers.

Identify researchers discussing specific technologies

>"Find Twitter users who have posted about "Log4j" OR "Spring Framework" OR "Apache Struts" vulnerabilities. Return their username, follower count, description, and count of relevant posts."

countTweetsClaude uses countTweets to identify researchers discussing specific technologies.

Track the spread of vulnerability information

>"Get all quotes and retweets of post [ID] to understand how vulnerability information is spreading and who is amplifying it."

getTwitterUsersByKeywordsClaude uses getTwitterUsersByKeywords to track the spread of vulnerability information.

Monitor specific researcher accounts

>"Get recent posts from security researcher @[username] and analyze for any discussion of new vulnerabilities or exploits."

countTweetsClaude uses countTweets to monitor specific researcher accounts.

Why XPOZ

No platform API keys needed

Access Twitter and other social platforms without obtaining and managing individual API credentials from each service

Natural language queries

Ask questions in plain English instead of constructing complex API calls—Claude translates your intent into precise queries

Unified multi-platform access

Query Twitter, Instagram, and Reddit through a single interface, correlating discussions across platforms

Real-time and historical data

Access both current conversations and historical context to understand vulnerability timelines

Async operation handling

Large-scale queries run in the background with automatic pagination, returning complete datasets without timeout concerns

CSV export for analysis

Export full datasets for integration with existing security tools and SIEM platforms

Frequently Asked Questions

Security researchers frequently discuss vulnerabilities days to weeks before official CVE assignment. The detection window depends on researcher disclosure practices, but monitoring social signals consistently provides earlier awareness than waiting for CVE databases.

Yes. Use boolean queries to target specific technologies relevant to your infrastructure. Combine technology keywords with severity indicators like "critical," "RCE," "unauthenticated," or "actively exploited" to prioritize high-impact discussions.

Xpoz provides access to Twitter/X (the primary platform for security researcher discussions), Instagram, and Reddit. Twitter remains the dominant platform for real-time vulnerability disclosure conversations.

Use `getTwitterUsersByKeywords` to find users who consistently post about security topics. The aggregation fields show how many relevant posts each account has made and their engagement levels, helping you identify genuine researchers versus casual commenters.

The CSV export feature allows you to download complete datasets for integration with SIEM platforms, ticketing systems, or custom security dashboards. Claude can also format outputs to match your team's preferred alert structure.

Get Started

Begin building your vulnerability monitoring system in under five minutes:

1

Connect Xpoz MCP: Add `https://mcp.xpoz.ai/mcp` as a connector in Claude (Settings → Connectors → Add custom connector)

2

Authenticate: Sign in with your Google account—no platform API keys required

3

Start querying: Ask Claude to find recent security discussions relevant to your technology stack

Xpoz includes 100,000 free results per month—enough to build and test your security intelligence workflow before scaling to production monitoring.

Ready to Build Your Detect Zero-Day Discussions Before the CVE Drops?

Get started with 100,000 free results per month. No credit card required.