cloning over all the old files

2025-08-04 12:58:29 -04:00
parent 2ec6f34b9a
commit eac63406a2
47 changed files with 3031 additions and 0 deletions
@@ -0,0 +1,92 @@
+import os
+import requests
+import pandas as pd
+from datetime import datetime, timedelta
+
+def get_latest_cves(days=3):
+    try:
+        end_date = datetime.now()
+        start_date = end_date - timedelta(days=days)
+        start_date_str = start_date.strftime("%Y-%m-%dT%H:%M:%S")
+        end_date_str = end_date.strftime("%Y-%m-%dT%H:%M:%S")
+        nvd_url = f"https://services.nvd.nist.gov/rest/json/cves/1.0?pubStartDate={start_date_str}&pubEndDate={end_date_str}"
+        response = requests.get(nvd_url)
+        if response.status_code == 200:
+            return response.json()
+        else:
+            print(f"Error: Unable to fetch CVE data. Status code: {response.status_code}")
+            print("Response content:", response.content)
+            return None
+    except requests.exceptions.RequestException as e:
+        print(f"Error: Unable to fetch CVE data. {e}")
+        return None
+
+def extract_cvss_data(cve_entry):
+    cvss_data = cve_entry.get("impact", {}).get("baseMetricV2", {}).get("cvssV2", {})
+    if cvss_data:
+        return {
+            "CVSS Version": "2.0",
+            "Vector String": cvss_data.get("vectorString", ""),
+            "Base Score": cvss_data.get("baseScore", ""),
+            "Base Severity": cvss_data.get("severity", ""),
+            "Access Vector": cvss_data.get("accessVector", ""),
+            "Access Complexity": cvss_data.get("accessComplexity", ""),
+            "Authentication": cvss_data.get("authentication", ""),
+            "Confidentiality Impact": cvss_data.get("confidentialityImpact", ""),
+            "Integrity Impact": cvss_data.get("integrityImpact", ""),
+            "Availability Impact": cvss_data.get("availabilityImpact", ""),
+            "Exploitability Score": cve_entry.get("exploitabilityScore", ""),
+            "Impact Score": cve_entry.get("impactScore", "")
+        }
+    else:
+        return {
+            "CVSS Version": "",
+            "Vector String": "",
+            "Base Score": "",
+            "Base Severity": "",
+            "Access Vector": "",
+            "Access Complexity": "",
+            "Authentication": "",
+            "Confidentiality Impact": "",
+            "Integrity Impact": "",
+            "Availability Impact": "",
+            "Exploitability Score": "",
+            "Impact Score": ""
+        }
+
+def generate_excel_report(cves, excel_filename):
+    try:
+        data = []
+        for vulnerability_entry in cves.get("result", {}).get("CVE_Items", []):
+            cve_entry = vulnerability_entry.get("cve", {})
+            cve_id = cve_entry.get("CVE_data_meta", {}).get("ID", "")
+            descriptions = cve_entry.get("description", {}).get("description_data", [])
+            english_descriptions = [desc.get("value", "") for desc in descriptions if desc.get("lang") == "en"]
+            description = " ".join(english_descriptions)
+            references = cve_entry.get("references", {}).get("reference_data", [])
+            reference_urls = [ref.get("url", "") for ref in references]
+            reference_sources = [ref.get("name", "") for ref in references]
+            reference_url = reference_urls[0] if reference_urls else ""
+            reference_source = reference_sources[0] if reference_sources else ""
+            cvss_data = extract_cvss_data(vulnerability_entry)
+            data.append({
+                "CVE ID": cve_id,
+                "Description": description,
+                "Reference URL": reference_url,
+                "Reference Source": reference_source,
+                **cvss_data
+            })
+        df = pd.DataFrame(data)
+        df.to_excel(excel_filename, index=False)
+        print(f"Excel report generated successfully: {excel_filename}")
+    except Exception as e:
+        print(f"Error: Unable to generate Excel report. {e}")
+
+if __name__ == "__main__":
+    latest_cves = get_latest_cves()
+    if latest_cves:
+        excel_timestamp = datetime.now().strftime("%Y%m%d%H%M%S")
+        excel_filename = f"latest_cves_{excel_timestamp}.xlsx"
+        generate_excel_report(latest_cves, excel_filename)
+    else:
+        print("No CVEs found.")