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CVE Intelligence

NEURO integrates with the National Vulnerability Database (NVD) and MITRE to provide real-time CVE intelligence. Automatically enrich your findings with official vulnerability data.

CVE Intelligence provides:

  • Automatic CVE ID detection
  • Real-time NVD data lookup
  • Official CVSS scores
  • Authoritative descriptions
  • CWE mappings
  • Reference links
CVE ID Input CVE-2024-XXXX
NVD/MITRE API Query
Enriched Data in Finding

NEURO automatically detects CVE IDs in:

  • Finding title
  • Description text

When detected:

  1. CVE ID is extracted
  2. NVD is queried
  3. Data is populated
  4. References are added
  1. In the finding form, locate CVE ID field
  2. Enter the CVE ID: CVE-2024-12345
  3. Click Lookup or Tab out
  4. Data populates automatically
FieldSourceDescription
CVSS ScoreNVDOfficial base score
CVSS VectorNVDFull vector string
SeverityCalculatedBased on CVSS score
CWE IDNVDWeakness classification
DescriptionNVDOfficial vulnerability description
ReferencesNVDOfficial advisories and links

Primary source for:

  • CVSS 3.1 scores
  • Official descriptions
  • CWE mappings
  • Reference URLs
  • Affected products (CPE)

Fallback source for:

  • CVE descriptions
  • Basic information
  • When NVD data unavailable

For Known Exploited Vulnerabilities:

  • Exploitation status indicator
  • Due date information
  • Remediation guidance
  1. Click + New Finding
  2. Title: CVE-2024-12345 or CVE-2024-12345 - Vulnerability Name
  3. Click Generate with AI
  4. Result:
    • Official CVE data from NVD
    • AI-generated remediation
    • Combined references

To get just CVE data:

  1. Create finding with any title
  2. Enter CVE ID in the CVE field
  3. Click lookup icon
  4. Official data populates
  5. Write description manually

For findings affecting multiple CVEs:

  1. Enter primary CVE in the CVE field
  2. Add additional CVEs in references
  3. Document relationship in description

When CVE is looked up:

  1. Official NVD CVSS score is used
  2. Overwrites AI-suggested score
  3. Vector string is populated

You may adjust CVSS when:

  • Environmental factors apply
  • Temporal metrics relevant
  • Specific context differs

Original CVE score is preserved in references.

CVE lookups include CWE (Common Weakness Enumeration):

CWE IDCategory
CWE-79Cross-site Scripting
CWE-89SQL Injection
CWE-287Improper Authentication
CWE-200Information Exposure

CWE helps:

  • Categorize findings
  • Filter by weakness type
  • Map to compliance controls

For actively exploited vulnerabilities:

When a CVE is in CISA’s KEV:

  • “Known Exploited” badge appears
  • Increased urgency highlighted
  • Due date shown (if applicable)
  • Identify highest priority CVEs
  • Track exploitation status
  • Meet federal requirements
  • Prioritize remediation

CVE lookup adds references:

  • NVD page
  • Vendor advisories
  • Security bulletins
  • Exploit databases
TypeExample
NVDnvd.nist.gov link
VendorMicrosoft/Cisco advisory
AdvisorySecurity bulletin
ExploitExploit-DB reference
PatchUpdate/fix links

Find existing findings by CVE:

  1. Go to Findings
  2. Use search: CVE-2024-12345
  3. View all related findings

Import multiple CVE-based findings:

  1. Prepare CVE list
  2. Go to FindingsImport
  3. Select CVE Import
  4. Paste CVE IDs (one per line)
  5. Click Import
  6. Findings created with CVE data

If CVE lookup fails:

  • Verify CVE ID format (CVE-YYYY-NNNNN)
  • Check CVE exists (recently assigned CVEs may not be in NVD)
  • Try again later (API may be unavailable)

Some CVEs have incomplete NVD data:

  • Reserved but not published
  • Recently assigned
  • Analysis pending

If your assessment differs from NVD:

  • Document reasoning in finding
  • Keep original CVE score as reference
  • Note adjusted score and justification
  1. Always link CVEs when applicable
  2. Verify CVE accuracy - ensure it matches your finding
  3. Add context - CVE is the vulnerability, your finding is the instance
  4. Update periodically - CVE data can change

Include in your finding:

  • CVE ID
  • Your specific evidence
  • Environment context
  • Adjusted recommendations

Next: Learn about the AI Chat Assistant