27 Commits
Author SHA1 Message Date
arvindrai 7c02440a9d Update scripts/CVE_scanner_new.py 2025-12-02 05:00:06 +00:00
arvindrai 5444493997 Update scripts/cve_scanner_new1.py 2025-12-02 04:59:03 +00:00
arvindrai 9907dd8a54 Update scripts/IMPORTANT.txt 2025-12-02 04:58:27 +00:00
arvindrai a5e297ef82 Update old-scripts/CVSS_scores.py 2025-12-02 04:57:51 +00:00
arvindrai 68d03bab49 Update old-scripts/top_vulnerability_types.py 2025-12-02 04:57:23 +00:00
arvindrai 1d14560e29 Upload files to "old-scripts"
uploaded
2025-12-02 04:56:35 +00:00
arvindrai 5b3be73f35 Delete scripts/CVE_scanner.py 2025-12-02 04:54:43 +00:00
arvindrai 36b209e529 Delete scripts/CVSS_scores.py 2025-12-02 04:54:23 +00:00
arvindrai ddbf1c6999 Delete old_scripts 2025-12-02 04:52:31 +00:00
arvindrai 999e6d75af Upload files to "old-scripts"
removed
2025-12-02 04:52:24 +00:00
arvindrai 2d9bbc9044 Update scripts/CVSS_scores.py 2025-12-02 04:48:48 +00:00
arvindrai 72cf84dc2f Add old_scripts 2025-12-02 04:46:30 +00:00
arvindrai 8c77b3a1a8 Upload files to "scripts"
old
2025-12-02 04:44:06 +00:00
arvindrai 57c8367e2a Upload files to "scripts"
added the better one
2025-12-02 04:42:40 +00:00
arvindrai 76d71bb285 Add scripts/IMPORTANT.txt 2025-12-02 04:20:35 +00:00
arvindrai c25761f7fb Upload files to "scripts"
a better CVE
2025-12-02 03:28:18 +00:00
arvindrai ea2e544a76 Add scripts/CVE_scanner_new.py
updated with a new and better script
2025-12-02 03:21:11 +00:00
arvindrai ac3b422377 Add requirements.txt
added requirements.txt for the extra modules
2025-12-02 02:36:11 +00:00
arvindrai 0d8e4d8ccb Upload files to "scripts"
added a new python file that updates the CVE list using API calls
2025-12-02 02:31:15 +00:00
arvindrai e27b0c57db Upload files to "/"
sorted list of the original .json of vulnerabilities
2025-10-29 04:58:44 +00:00
arvindrai 564222d082 Upload files to "Figures" 2025-10-29 04:22:27 +00:00
arvindrai d0db901e65 Upload files to "Figures"
CVSS Scores
2025-10-29 03:32:15 +00:00
arvindrai 6d785b4252 Upload files to "scripts"
Python script which plots a histogram of the distribution of CVSS severities
2025-10-29 03:31:31 +00:00
arvindrai 8f78abb808 Add scripts/CVE_scanner.py
Python script that scans an array of selected plugins against the names found in our CVE.
2025-10-29 03:19:27 +00:00
arvindrai c6550981a4 Delete scripts
was a file, not a directory
2025-10-29 03:12:52 +00:00
arvindrai cccd9eedd0 Add scripts 2025-10-29 03:10:09 +00:00
arvindrai 4056d29124 added cve database 2025-10-22 00:45:52 -04:00
20 changed files with 2726821 additions and 430 deletions
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-18
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# WordPress Metrics
## scrape_wordpress_plugins.py
- Uses requests to scrape the whole plugins list using https://api.wordpress.org/plugins/
- Scrape in pages of 100 plugins, takes about ~30 mins to complete
- Stores as output.json
## analyze_data.py
- Calculate basic statistics (percentiles, mean, median, sd ...)
- Visualize them with matplot in a logrithrimic scale
## query_plugin.py
- Change slug to equal the target plugins (should be able to directly plug the outputs from detect_plugins.sh)
- TODO: Implement warning system
## security_rating.py
- Implements some sort of basic rating system factoring in number of active installations, last-update date, and ratings
- sample use case: python3 security_rating.py {plugin name}
-74
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import json
import matplotlib.pyplot as plt
import numpy as np
def print_info(name, data):
# Convert the list to a NumPy array
data_np = np.array(data)
# Calculate basic statistics
mean = np.mean(data_np)
median = np.median(data_np)
std_dev = np.std(data_np)
variance = np.var(data_np)
min_val = np.min(data_np)
max_val = np.max(data_np)
sum_val = np.sum(data_np)
# Calculate percentiles
percentile_25 = np.percentile(data_np, 25)
percentile_50 = np.percentile(data_np, 50) # This is the same as the median
percentile_75 = np.percentile(data_np, 75)
percentile_90 = np.percentile(data_np, 90)
# Print the results
print(f"\n\nDescriptive Statistics for {name}:")
print(f"Mean: {mean}")
print(f"Median: {median}")
print(f"Standard Deviation: {std_dev}")
print(f"Variance: {variance}")
print(f"Minimum: {min_val}")
print(f"Maximum: {max_val}")
print(f"Sum: {sum_val}")
print("\nPercentiles:")
print(f"25th Percentile: {percentile_25}")
print(f"50th Percentile (Median): {percentile_50}")
print(f"75th Percentile: {percentile_75}")
print(f"90th Percentile: {percentile_90}")
with open('output.json', 'r') as f:
json_data = json.load(f)
# print(len(data))
downloaded = [plugin["downloaded"] for plugin in json_data]
rating = [plugin["rating"] for plugin in json_data]
active_installs = [plugin["active_installs"] for plugin in json_data]
num_ratings = [plugin["num_ratings"] for plugin in json_data]
print_info("downloaded", downloaded)
print_info("rating", rating)
print_info("active_installs", active_installs)
print_info("num_ratings", num_ratings)
# plt.hist(downloaded, bins=500, log=True)
# plt.show()
fig, axs = plt.subplots(nrows=2, ncols=2, figsize=(8, 6))
axs[0,0].hist(downloaded, bins=100, log=True)
axs[0,0].set_title("Distribution of downloaded")
axs[0,1].hist(rating, bins=20, log=True)
axs[0,1].set_title("Distribution of rating")
axs[1,0].hist(active_installs, bins=10, log=True)
axs[1,0].set_title("Distribution of active_installs")
axs[1,1].hist(num_ratings, bins=100, log=True)
axs[1,1].set_title("Distribution of num_ratings")
# Add labels and title
# plt.xlabel("Value")
# plt.ylabel("Frequency (log)")
# Display the plot
plt.show()
-162
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#!/usr/bin/env python3
"""Analyze WordPress plugins for security vulnerabilities using security ratings."""
import argparse
import json
import sys
from datetime import datetime, timezone
from pathlib import Path
# Import security_rating functions
from security_rating import get_plugin_info, calculate_security_score
def parse_args() -> argparse.Namespace:
"""Parse command-line arguments.
Returns:
Parsed arguments namespace.
"""
parser = argparse.ArgumentParser(
description="Analyze WordPress plugins for security issues using security ratings."
)
parser.add_argument(
"--input",
"-i",
required=True,
help="Path to input JSON file (from output_recursive_plugins)"
)
parser.add_argument(
"--output",
"-o",
help="Path to output JSON file (if not specified, prints to stdout)",
default=None
)
parser.add_argument(
"--detector-name",
"-d",
help="Name of detector to use in output (default: Security Rating Analyzer)",
default="Security Rating Analyzer"
)
return parser.parse_args()
def analyze_plugin(slug: str) -> dict:
"""Analyze a single plugin and return its status.
Args:
slug: Plugin slug to analyze.
Returns:
Dict with status and reason fields.
"""
plugin_info = get_plugin_info(slug)
if not plugin_info:
return {
"status": "unknown",
"reason": f"Could not fetch plugin information from WordPress.org API"
}
score = calculate_security_score(plugin_info)
# Determine status based on score
# Safe: score >= 65 (Excellent or Good)
# Vulnerable: score < 65 (Moderate or Poor)
if score >= 85:
status = "safe"
reason = f"Excellent security rating ({score}/100) — Actively maintained and trusted"
elif score >= 65:
status = "safe"
reason = f"Good security rating ({score}/100) — Generally safe but monitor updates"
elif score >= 45:
status = "vulnerable"
reason = f"Moderate security rating ({score}/100) — May be outdated or less popular"
else:
status = "vulnerable"
reason = f"Poor security rating ({score}/100) — High risk of security issues"
result = {
"status": status,
"reason": reason,
"score": score
}
# Add version if available
version = plugin_info.get("version")
if version:
result["version"] = version
return result
def analyze_directory(directory_name: str, plugins_dict: dict, detector_name: str) -> dict:
"""Analyze all plugins in a directory.
Args:
directory_name: Name of the directory being analyzed.
plugins_dict: Dict mapping plugin slug to absolute path.
detector_name: Name of the detector.
Returns:
Analysis result in the specified format.
"""
timestamp = datetime.now(timezone.utc).isoformat()
analyzed_plugins = {}
print(f"\nAnalyzing plugins for directory: {directory_name}")
print(f"Found {len(plugins_dict)} plugins to analyze")
for slug, path in plugins_dict.items():
print(f" Analyzing {slug}...", end=" ", flush=True)
result = analyze_plugin(slug)
analyzed_plugins[slug] = result
print(f"{result['status']}")
return {
"directory": directory_name,
"wordpress": True,
"name_of_detector": detector_name,
"timestamp": timestamp,
"plugins": analyzed_plugins
}
def main():
"""Main entry point for the plugin analyzer."""
args = parse_args()
# Load input JSON
try:
with open(args.input, "r", encoding="utf-8") as f:
input_data = json.load(f)
except FileNotFoundError:
print(f"Error: Input file '{args.input}' not found.", file=sys.stderr)
sys.exit(1)
except json.JSONDecodeError as e:
print(f"Error: Invalid JSON in '{args.input}': {e}", file=sys.stderr)
sys.exit(1)
# Analyze each directory
results = []
for directory_name, plugins_dict in input_data.items():
if not plugins_dict:
print(f"Skipping {directory_name} (no plugins found)")
continue
analysis = analyze_directory(directory_name, plugins_dict, args.detector_name)
results.append(analysis)
# Output results
if args.output:
with open(args.output, "w", encoding="utf-8") as f:
json.dump(results, f, ensure_ascii=False, indent=2)
print(f"\nWrote analysis results to {args.output}")
else:
print("\nAnalysis results:")
print(json.dumps(results, ensure_ascii=False, indent=2))
if __name__ == "__main__":
main()
-14
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import requests
slug = "akismet"
response = requests.get("https://api.wordpress.org/plugins/info/1.2/?action=query_plugins"
f"&slug={slug}")
response_json = response.json()
response_json = response_json['plugins'][0]
# print(response_json)
print(response_json['downloaded'])
print(response_json['rating'])
print(response_json['active_installs'])
print(response_json['num_ratings'])
# TODO: Implement warning system
@@ -1,37 +0,0 @@
from time import sleep
import requests
import json
from tqdm import tqdm
starting_page = 1
request_per_page = 100
response = requests.get(f"https://api.wordpress.org/plugins/info/1.2/?action=query_plugins"
f"&request[page]={starting_page}"
f"&request[per_page]={request_per_page}")
response_json = response.json()
# print(response_json)
page_no = response_json['info']['pages']
plugins_info_list = []
plugins_info_str = ""
for i in tqdm(range(page_no)):
response = requests.get(f"https://api.wordpress.org/plugins/info/1.2/?action=query_plugins"
f"&request[page]={i+1}"
f"&request[per_page]={request_per_page}")
response_json = response.json()
plugins_info_list.append(response_json['plugins'])
# plugins_info_str += str(response_json['plugins'])
sleep(0.1)
flattened_list = [item for sublist in plugins_info_list for item in sublist]
plugins_info_json = json.dumps(flattened_list, indent=4)
print(plugins_info_json)
filename = "output.json"
# Open the file in write mode ('w') and use json.dump() to write the data
with open(filename, 'w') as f:
f.write(plugins_info_json)
-101
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@@ -1,101 +0,0 @@
import requests
import datetime
import sys
from dateutil import parser
import datetime
def get_plugin_info(slug):
"""Fetch plugin info from the WordPress API."""
url = f"https://api.wordpress.org/plugins/info/1.2/?action=plugin_information&request[slug]={slug}"
response = requests.get(url)
if response.status_code != 200:
print(f"Error: Unable to fetch data for plugin '{slug}'.")
return None
return response.json()
def calculate_security_score(plugin):
"""Calculate a security score (0-100) for a WordPress plugin."""
score = 0
# last updated
last_updated_str = plugin.get("last_updated")
if last_updated_str:
try:
last_updated = parser.parse(last_updated_str)
now = datetime.datetime.now(datetime.timezone.utc)
if last_updated.tzinfo is None:
last_updated = last_updated.replace(tzinfo=datetime.timezone.utc)
days_since_update = (now - last_updated).days
if days_since_update <= 90:
score += 40
elif days_since_update <= 180:
score += 30
elif days_since_update <= 365:
score += 20
else:
score += 10
except Exception as e:
print(f"Warning: Could not parse date '{last_updated_str}': {e}")
score += 0
else:
score += 0
# user rating
rating = plugin.get("rating")
if isinstance(rating, (int, float)):
score += (rating / 100) * 30
else:
score += 0
# active installs
installs = plugin.get("active_installs")
if isinstance(installs, int):
if installs >= 1_000_000:
score += 20
elif installs >= 100_000:
score += 15
elif installs >= 10_000:
score += 10
elif installs > 0:
score += 5
else:
score += 0
return round(score, 1)
def rate_plugin(slug):
plugin = get_plugin_info(slug)
if not plugin:
return
score = calculate_security_score(plugin)
name = plugin.get("name", slug)
last_updated = plugin.get("last_updated", "Unknown")
rating = plugin.get("rating", "Unknown")
installs = plugin.get("active_installs", "Unknown")
print(f"\n🔍 Security Rating for '{name}'")
print("=" * (25 + len(name)))
print(f"Last Updated: {last_updated}")
print(f"User Rating: {rating}/100")
print(f"Active Installs: {installs}")
print(f"→ Security Score: {score}/100")
if score >= 85:
print("Excellent — Actively maintained and trusted")
elif score >= 65:
print("Good — Generally safe but monitor updates")
elif score >= 45:
print("Moderate — May be outdated or less popular")
else:
print("Poor — High risk of security issues")
if __name__ == "__main__":
if len(sys.argv) < 2:
print("Usage: python plugin_security_rating.py <plugin-slug>")
sys.exit(1)
slug = sys.argv[1]
rate_plugin(slug)
-24
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#!/bin/bash
# Usage:
# ./export-wp-plugins.sh [base_directory] [output_file]
BASE_DIR="${1:-/var/www}"
OUTPUT_FILE="${2:-plugins.csv}"
# Check for WP-CLI
if ! command -v wp &>/dev/null; then
echo "WP-CLI not found. Install WP-CLI first: https://wp-cli.org/"
exit 1
fi
# Loop through subdirectories
for dir in "$BASE_DIR"/*/; do
if [ -f "$dir/wp-config.php" ]; then
site=$(basename "$dir")
echo "=== $site ===" | tee -a "$OUTPUT_FILE"
wp --allow-root --path="$dir" plugin list --format=csv>> "$OUTPUT_FILE"
echo "" >> "$OUTPUT_FILE"
fi
done
echo "Plugins saved to $OUTPUT_FILE"
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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")
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#!/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()
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requests
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#!/usr/bin/env python3
import json
import os
# vars
JSON_FILE = "wordfence_vulnerabilities.json"
BAD_LIST = []
JSON_OUT = "matches.json"
def load_local(path):
with open(path, "r", encoding="utf-8") as f:
return json.load(f)
def get_entries(data):
# try to find the main list of vulnerabilities
if isinstance(data, dict):
if "vulnerabilities" in data:
return data["vulnerabilities"]
for value in data.values():
if isinstance(value, list):
return value
return []
elif isinstance(data, list):
return data
else:
return []
def main():
if os.path.exists(JSON_FILE):
print("Loading ...", JSON_FILE)
data = load_local(JSON_FILE)
else:
print("Error: JSON file not found:", JSON_FILE)
return
entries = get_entries(data)
bad_set = set(BAD_LIST)
hits = []
for item in entries:
if not isinstance(item, dict):
continue
if item.get("type") != "plugin":
continue
slug = (item.get("slug") or "").strip()
if not slug:
continue
if slug in bad_set:
hit = {
"slug": slug,
"title": item.get("title"),
"cve": item.get("cve"),
"severity": item.get("severity"),
"cvss_score": item.get("cvss_score"),
"cve_link": item.get("cve_link"),
"raw": item
}
hits.append(hit)
if not hits:
print("No matches at all")
else:
print("Found", len(hits), "matches:")
for h in hits:
print(
"-",
h["slug"],
"| CVE:", h.get("cve"),
"| sev:", h.get("severity"),
"| CVSS:", h.get("cvss_score")
)
print(" link:", h.get("cve_link"))
# save
with open(JSON_OUT, "w", encoding="utf-8") as f:
json.dump(hits, f, ensure_ascii=False, indent=2)
print("Saved to", JSON_OUT)
if __name__ == "__main__":
main()
+2
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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.
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#!/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()
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#!/usr/bin/env python3
import requests
import os
URL = "https://www.wordfence.com/api/intelligence/v2/vulnerabilities/scanner"
OUT_FILE = "wordfence_CVE.json"
def main():
print("API request.....")
r = requests.get(URL, timeout=60)
r.raise_for_status()
script_dir = os.path.dirname(os.path.abspath(__file__))
out_path = os.path.join(script_dir, OUT_FILE)
with open(out_path, "w", encoding="utf-8") as f:
f.write(r.text)
print("File Saved!")
if __name__ == "__main__":
main()
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