Update scripts/CVE_scanner_new.py

uploaded

old-scripts/CVSS_scores.py

@@ -1,40 +1,40 @@
-import json
-import matplotlib.pyplot as plt
-
-# path to your vulnerability JSON file
-json_path = "wordfence_vulnerabilities.json"
-
-def load_cvss_scores(path):
-    """Load JSON data and extract all CVSS scores into a list"""
-    with open(path, "r", encoding="utf-8") as f:
-        data = json.load(f)
-
-    scores = []
-    for entry in data:
-        # make sure cvss_score exists and is numeric
-        if "cvss_score" in entry and isinstance(entry["cvss_score"], (int, float)):
-            scores.append(entry["cvss_score"])
-    return scores
-
-
-def plot_hist(scores):
-    """Plot a histogram of CVSS scores"""
-    plt.figure(figsize=(8, 5))
-    plt.hist(scores, bins=10, edgecolor="black", color="skyblue")
-    plt.title("Distribution of CVSS Scores in Vulnerability Data")
-    plt.xlabel("CVSS Score")
-    plt.ylabel("Number of Vulnerabilities")
-    plt.grid(alpha=0.4)
-    plt.savefig("cvss_distribution.png")
-    plt.show()
-
-
-if __name__ == "__main__":
-    scores = load_cvss_scores(json_path)
-    print(f"Loaded {len(scores)} CVSS scores.")
-    print("Sample:", scores[:10])
-
-    if scores:
-        plot_hist(scores)
-    else:
-        print("⚠️ No CVSS scores found in the JSON file.")
+import json
+import matplotlib.pyplot as plt
+
+
+json_path = "wordfence_vulnerabilities.json"
+
+def load_cvss_scores(path):
+    """Load JSON data and extract all CVSS scores into a list"""
+    with open(path, "r", encoding="utf-8") as f:
+        data = json.load(f)
+
+    scores = []
+    for entry in data:
+      
+        if "cvss_score" in entry and isinstance(entry["cvss_score"], (int, float)):
+            scores.append(entry["cvss_score"])
+    return scores
+
+
+def plot_hist(scores):
+    """Plot a histogram of CVSS scores"""
+    plt.figure(figsize=(8, 5))
+    plt.hist(scores, bins=10, edgecolor="black", color="skyblue")
+    plt.title("Distribution of CVSS Scores in Vulnerability Data")
+    plt.xlabel("CVSS Score")
+    plt.ylabel("Number of Vulnerabilities")
+    plt.grid(alpha=0.4)
+    plt.savefig("cvss_distribution.png")
+    plt.show()
+
+
+if __name__ == "__main__":
+    scores = load_cvss_scores(json_path)
+    print(f"Loaded {len(scores)} CVSS scores.")
+    print("Sample:", scores[:10])
+
+    if scores:
+        plot_hist(scores)
+    else:
+        print("error")

old-scripts/top_vulnerability_types.py

@@ -0,0 +1,49 @@
+#!/usr/bin/env python3
+import json
+from collections import Counter
+import matplotlib.pyplot as plt
+
+
+path = "wordfence_vulnerabilities.json"
+
+# Load JSON data
+with open(path, "r", encoding="utf-8") as f:
+    data = json.load(f)
+
+vuln_types = []
+
+for entry in data:
+    title = entry.get("title")
+    if not isinstance(title, str):
+        continue
+
+    # Split on the first dash (" - ") and take the right-hand side
+    if " - " in title:
+        vuln = title.split(" - ", 1)[1].strip()
+        vuln_types.append(vuln)
+
+# Count occurrences
+counts = Counter(vuln_types)
+top25 = counts.most_common(25)
+total = sum(counts.values())
+
+if not vuln_types:
+    print("error")
+    exit()
+
+# Print table of top 25
+print("\nTop 25 Vulnerability Types:\n")
+for name, count in top25:
+    rel = (count / total) * 100
+    print(f"{name:60} {count:5d} ({rel:5.2f}%)")
+
+# Visualization
+labels, values = zip(*top25)
+plt.figure(figsize=(10, 6))
+plt.barh(labels[::-1], values[::-1], color="cornflowerblue")
+plt.title("Top 25 Most Common Vulnerability Types")
+plt.xlabel("Count")
+plt.ylabel("Vulnerability Type")
+plt.tight_layout()
+plt.show()
+

scripts/CVE_scanner.py

@@ -1,96 +0,0 @@
-#!/usr/bin/env python3
-import json
-import csv
-import os
-from urllib.parse import urlparse
-
-REL_PATH = "../"
-LOCAL_PATH = REL_PATH + "wordfence_vulnerabilities.json"
-RAW_URL = ""
-bad_plugins = []
-OUT_CSV = "matches.csv"
-OUT_JSON = "matches.json"
-
-def load_json_local(path):
-    with open(path, "r", encoding="utf-8") as f:
-        return json.load(f)
-
-def load_json_from_url(url):
-    import requests
-    r = requests.get(url, timeout=30)
-    r.raise_for_status()
-    return r.json()
-
-def main():
-    data = None
-    if os.path.exists(LOCAL_PATH):
-        print(f"Loading local file: {LOCAL_PATH}")
-        data = load_json_local(LOCAL_PATH)
-    elif RAW_URL:
-        print(f"Local file not found, downloading from: {RAW_URL}")
-        data = load_json_from_url(RAW_URL)
-    else:
-        raise SystemExit("Error: no local file and RAW_URL is empty.")
-
-    if isinstance(data, dict) and "vulnerabilities" in data:
-        entries = data["vulnerabilities"]
-    elif isinstance(data, list):
-        entries = data
-    else:
-        entries = []
-        if isinstance(data, dict):
-            for v in data.values():
-                if isinstance(v, list):
-                    entries = v
-                    break
-
-    bad_set = set(bad_plugins)
-    matches = []
-    for entry in entries:
-        try:
-            if entry.get("type") != "plugin":
-                continue
-            slug = entry.get("slug", "").strip()
-            if not slug:
-                continue
-            if slug in bad_set:
-                matches.append({
-                    "slug": slug,
-                    "title": entry.get("title"),
-                    "cve": entry.get("cve"),
-                    "severity": entry.get("severity"),
-                    "cvss_score": entry.get("cvss_score"),
-                    "cve_link": entry.get("cve_link"),
-                    "raw": entry
-                })
-        except Exception:
-            continue
-
-    if not matches:
-        print("No matches found for the bad_plugins list.")
-    else:
-        print(f"Found {len(matches)} matches:")
-        for m in matches:
-            print(f"- {m['slug']} | CVE: {m.get('cve')} | sev: {m.get('severity')} | CVSS: {m.get('cvss_score')}")
-            print(f"  link: {m.get('cve_link')}")
-
-    with open(OUT_CSV, "w", newline='', encoding="utf-8") as csvf:
-        writer = csv.DictWriter(csvf, fieldnames=["slug", "title", "cve", "severity", "cvss_score", "cve_link"])
-        writer.writeheader()
-        for m in matches:
-            writer.writerow({
-                "slug": m["slug"],
-                "title": m.get("title"),
-                "cve": m.get("cve"),
-                "severity": m.get("severity"),
-                "cvss_score": m.get("cvss_score"),
-                "cve_link": m.get("cve_link")
-            })
-    print(f"Saved CSV results to {OUT_CSV}")
-
-    with open(OUT_JSON, "w", encoding="utf-8") as jf:
-        json.dump(matches, jf, ensure_ascii=False, indent=2)
-    print(f"Saved JSON results to {OUT_JSON}")
-
-if __name__ == "__main__":
-    main()

scripts/CVE_scanner_new.py

@@ -3,7 +3,7 @@ import json
 import os
 
 # vars
-JSON_FILE = "../wordfence_vulnerabilities.json"
+JSON_FILE = "wordfence_vulnerabilities.json"
 BAD_LIST = []
 
 JSON_OUT = "matches.json"

scripts/IMPORTANT.txt

@@ -1,2 +1,2 @@
-get_CVE.py **MUST** be ran before better_cve_scanner can be ran since it runs using a list that is fetched daily.
+get_CVE.py **MUST** be ran before cve_scanner_new1 can be ran since it runs using a list that is fetched daily.
 CVE_scanner.py runs on a static list called wordfence_vulnerabilities.json that is stored in the same directory, which is an old list of major vulnerabilities.

scripts/cve_scanner_new1.py

@@ -0,0 +1,77 @@
+#!/usr/bin/env python3
+import json
+import os
+
+JSON_FILE = "wordfence_CVE.json"
+JSON_OUT = "malware.json"
+BAD_PLUGINS = []
+
+
+def load_file(path):
+    with open(path, "r", encoding="utf-8") as f:
+        return json.load(f)
+
+
+def main():
+    if not os.path.exists(JSON_FILE):
+        print("json file not found:", JSON_FILE)
+        return
+
+    data = load_file(JSON_FILE)
+
+    bad_set = set()
+    for n in BAD_PLUGINS:
+        if isinstance(n, str):
+            n = n.strip()
+            if n:
+                bad_set.add(n)
+
+    hits = []
+
+    for key, item in data.items():
+        if not isinstance(item, dict):
+            continue
+
+        software_list = item.get("software") or []
+        for s in software_list:
+            if not isinstance(s, dict):
+                continue
+            if s.get("type") != "plugin":
+                continue
+
+            name = (s.get("name") or "").strip()
+            if name not in bad_set:
+                continue
+
+            affected = s.get("affected_versions") or {}
+            if not affected:
+                continue
+
+            refs = item.get("references") or []
+            ref = refs[0] if refs else None
+
+            hit = {
+                "id": item.get("id"),
+                "title": item.get("title"),
+                "name": name,
+                "slug": s.get("slug"),
+                "affected_versions": list(affected.keys()),
+                "link": ref,
+                "raw": item
+            }
+            hits.append(hit)
+
+    if not hits:
+        print("no matches found")
+    else:
+        print("found", len(hits), "matches")
+        for h in hits:
+            print("-", h["name"], "|", ", ".join(h["affected_versions"]))
+
+    with open(JSON_OUT, "w", encoding="utf-8") as f:
+        json.dump(hits, f, ensure_ascii=False, indent=2)
+    print("saved json to", JSON_OUT)
+
+
+if __name__ == "__main__":
+    main()