CVE Sentinel#

Overview#

Monitor open-source software for new CVE disclosures, retrieve vulnerability data from authoritative databases (OSV/NVD/CISA KEV/Github Advisory), and perform six-dimension deep analysis for high-severity vulnerabilities.

When to Use#

• Want to check if watched software has new vulnerability disclosures / 扫描watchlist中的软件有没有新漏洞
• Have a specific CVE-ID and need deep analysis report / 分析CVE-XXXX-YYYYY
• Want to extract project dependencies and monitor them for vulnerabilities / 提取项目依赖到watchlist
• Need to review archived vulnerability reports / 查看已归档的漏洞报告
• Want a lightweight CVE summary list without deep analysis / 只列出CVE摘要

Execution Modes#

dot

digraph modes {
  "User request" -> "Mode decision";
  "Mode decision" -> "Monitor mode" [label="scan watchlist / 扫描watchlist"];
  "Mode decision" -> "Analysis mode" [label="specific CVE / 分析CVE"];
  "Mode decision" -> "Retrieve mode" [label="list only / 仅列出"];
  "Monitor mode" -> "query-vulns.py";
  "query-vulns.py" -> "CVSS<7: summary table";
  "query-vulns.py" -> "CVSS>=7: deep analysis";
  "Analysis mode" -> "Collect CVE data";
  "Collect CVE data" -> "Six-dimension analysis";
  "Retrieve mode" -> "query-vulns.py";
  "query-vulns.py" -> "Summary table only";
}

Monitor Mode#

Scan watchlist for new vulnerabilities:

1. Run python scripts/query-vulns.py --watchlist <path> --days 7 --index reports/INDEX.md --output reports/raw-results.json

2. Parse JSON output, check user_version_status field:

   • affected: CVE affects versions within watchlist range → categorize by CVSS

     • CVSS < 7: Generate summary table
     • CVSS ≥ 7: Proceed to Deep Analysis below

   • not_in_scope: CVE only affects versions outside watchlist range → add to summary table with "out of watchlist scope" note

3. For infrastructure software (ecosystem empty in watchlist): always output summary table first, user manually decides which CVEs need deep analysis

4. Archive results and update reports/INDEX.md

Analysis Mode#

Deep analysis for a specific CVE:

1. Run python scripts/query-vulns.py --watchlist <path> --cve CVE-YYYY-XXXXX --output reports/raw-{CVE-ID}.json
2. Review collected data from all sources (NVD, OSV, GHSA, CISA KEV)
3. Search for patch commits, PoC, exploit details from reference URLs in collected data
4. Perform six-dimension analysis (see references/report-template.md for template)
5. Generate report file reports/YYYY-MM-DD-{CVE-ID}.md
6. Update reports/INDEX.md

Retrieve Mode#

List vulnerabilities without analysis:

1. Run python scripts/query-vulns.py --watchlist <path> --days 7 --output reports/raw-results.json
2. Output structured summary table only, no deep analysis

Dependency Extraction#

Add project dependencies to watchlist:

1. Run python scripts/extract-deps.py --watchlist <path> --project-dir <path>
2. Review updated watchlist.yaml, fill in missing CPE values manually
3. Run monitor mode to scan newly added software

Deep Analysis Method#

Six dimensions for CVSS ≥ 7 (see references/report-template.md):

1. Root Cause: Root cause from patch diff, vulnerability classification, code path explanation
2. Trigger Conditions: Trigger chain, prerequisites, trigger difficulty assessment
3. Impact Scope: Affected versions, deployment scenarios, lateral impact
4. Mitigation Comparison: ≥3 mitigation options with comparison table
5. Verification: Verification commands, success/failure criteria
6. Long-term Plan: Target upgrade version, upgrade path, mitigation removal timing

Information Collection#

Before deep analysis, collect from these sources (see references/data-sources.md):

• NVD: CVE description, CVSS, CPE scope, reference links
• OSV: Ecosystem-specific versions, fix versions, alias CVEs
• CISA KEV: Whether known exploited (adds urgency)
• GitHub Advisory: Official project advisory
• Patch commits: From reference URLs in collected data
• PoC/Exploit: From GitHub issues, exploit-db (search from reference links)

Report Archival#

• Deep reports: reports/YYYY-MM-DD-{CVE-ID}.md
• Summary tables: Append to monitoring session output
• Index: reports/INDEX.md with columns: CVE-ID, Software, CVSS, Deep Analysis, Date, Report Path

New CVE Detection#

Compare query results against reports/INDEX.md to filter out already-analyzed CVEs. First execution treats all found CVEs as new.

Quick Reference#

ActionCommandMonitor watchlistpython scripts/query-vulns.py --watchlist watchlist.yaml --days 7 --index reports/INDEX.mdAnalyze specific CVEpython scripts/query-vulns.py --watchlist watchlist.yaml --cve CVE-YYYY-XXXXXExtract dependenciespython scripts/extract-deps.py --watchlist watchlist.yaml --project-dir .List only (no analysis)python scripts/query-vulns.py --watchlist watchlist.yaml --days 30 --skip-osv

Common Mistakes#

• Running monitor without INDEX.md → all CVEs treated as new, re-analyzing known vulnerabilities
• Empty ecosystem in watchlist for packages → OSV query skipped, only NVD used (less precise for packages)
• Missing CPE for infrastructure software → NVD query skipped entirely
• Not checking CISA KEV → missing urgency flag for known-exploited vulnerabilities