facebook-pixel CYBERDUDEBIVASH® SENTINEL APEX™ | Enterprise Cyber Threat Intelligence Platform
📡

CYBERDUDEBIVASH® LIVE THREAT INTELLIGENCE

Synchronizing...
Loading SENTINEL APEX Threat Intelligence Feed...

CYBERDUDEBIVASH®

Global Enterprise CTI SaaS Platform • Universal Adaptive Design

Enterprise Cyber Threat Intelligence (CTI) SaaS Platform, Universal Adaptive Layout Engine, Real-time Ingestion Stream, STIX 2.1 / MISP Exporter, and Multi-Agent AI Copilots led by Chief Security Architect Bivash Kumar Nayak.

ecosystem@cyberdudebivash:~$ sentinel_apex_universal --status
[+] CYBERDUDEBIVASH® UNIVERSAL ADAPTIVE ENGINE: ONLINE (VERSION 15.0 ENTERPRISE)
[+] Real-time Indicators: 142,890+ | STIX 2.1 / MISP Stream: Operational
[+] Adaptive Breakpoint Engine: Active across 320px to 3840px (4K/5K)
[+] Accessibility Engine: WCAG 2.2 AA Verified | Motion Accessibility: prefers-reduced-motion Ready

📊 MULTI-PERSONA EXECUTIVE CTI DASHBOARDS

REAL-TIME TELEMETRY
Global Threat Level
88.4
Elevated Critical
Board SLA Compliance
99.4%
Within Risk Tolerance
EPSS Score Avg
0.84
High Exploitation Prob
CISA KEV Vulnerabilities
48 Active
Patch Required
Financial Risk Exposure
$2.4M
Insured Coverage: 100%
Ransomware Risk Level
LOW
Zero Active Leaks
Cyber Insurance Score
94/100
Tier 1 Qualified
Triage Queue
12 Pending
Avg Triage: 4.2 min
Active IOC Matches
1,420
Blocked at Edge
SOAR Automation Rate
91.2%
Auto-Remediated
Active Managed Tenants
142 Tenants
Multi-Tenant Isolation
Global Tenant Health
99.98%
Zero Outages
Cloud Security Posture
96/100
AWS / GCP / Azure
Kubernetes Cluster Score
HARDENED
ArgoCD Verified

🗄️ REAL-TIME IOC DATABASE & MULTI-FORMAT EXPORTER

Live indicator feed ingested from Sentinel APEX CTI stream. Supports IP, IPv6, Domain, Hash, JA3/JA4, TLS Fingerprints, and ASN.

Indicator Value Type Threat Actor Score Action
185.220.101.5 IP (IPv4) APT29 / Cozy Bear 98/100
e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 SHA256 Hash Lazarus Group 96/100
72a589da586844d7f0818ce684948eea (JA3) JA3 Fingerprint LockBit 3.0 88/100

📡 LATEST THREAT INTELLIGENCE ADVISORIES

REAL-TIME INGESTION
1. Autonomous AI Agent Prompt Hijacking Vector
Analysis of remote prompt injection exploit targeted at enterprise AI agents and LLM API gateways.
Read Report →
2. Cloud Gateway Zero-Day Authentication Bypass
Unauthenticated remote code execution vulnerability impacting enterprise cloud proxy gateways.
Read Report →
3. APT29 Infrastructure Correlation & C2 Nodes
Tracking 42 newly identified command-and-control IP addresses and domain infrastructure.
Read Report →
CYBERDUDEBIVASH® OFFICIAL COMMERCIAL MARKETPLACE

Enterprise Cybersecurity & AI Security Store

Production-grade Security Assessment Toolkits, Threat Intelligence Feeds, AI Guardrail Frameworks, and Professional Software for Enterprise Security Teams worldwide.

40+ Commercial Products
20+ Enterprise Toolkits
15+ AI Security Frameworks
500+ Threat Intelligence Reports
🛡️ Commercial License Included ⚡ Instant Digital Download 🤖 AI Security Powered 🔒 Enterprise Ready & Audited
🔍

Featured Commercial Products

Industry-standard toolkits and platforms engineered by CYBERDUDEBIVASH®

Why Choose CYBERDUDEBIVASH® Products?

🛡️

Enterprise Grade & Production Ready

Built for Fortune 500 security teams, CISOs, and consultants. Zero placeholders or incomplete code.

🤖

Advanced AI Security Coverage

First-in-market playbooks and guardrails covering OWASP LLM Top 10, RAG security, and MCP agent permissions.

📊

Automated Multi-Format Reporting

Instantly publish HTML dark-mode executive dashboards, Markdown technical reports, JSON telemetry, and Excel workbooks.

📜

Commercial Licensing & Legal Protection

Every toolkit includes official End-User License Agreements (EULA) and third-party notices ready for client deployment.

CYBERDUDEBIVASH® Product Comparison Matrix

×
🛡️ CYBERDUDEBIVASH® AI SECURITY 🛰️ SENTINEL APEX CTI ⚡ REAL-TIME THREAT APIS 🔒 ZERO TRUST ARCHITECTURE 🤖 PROMPT INJECTION DEFENSE 📊 SOC & SIEM AUTOMATION ☁️ CLOUD SECURITY AUDIT 🛡️ CYBERDUDEBIVASH® AI SECURITY 🛰️ SENTINEL APEX CTI ⚡ REAL-TIME THREAT APIS
ECOSYSTEM COMMAND CENTER v5.0

CYBERDUDEBIVASH® Global Defense Network

Real-time visual map connecting India's 1st AI-Native Cybersecurity Platform with enterprise endpoints worldwide.

📍 Origin: Odisha, India — Serving Customers Globally
ONLINE
CYBERDUDEBIVASH®
Master Enterprise Platform & AI Security Hub
🛰️ Sentinel APEX™
CTI Threat Intel Platform
intel.cyberdudebivash.com ➔
🌐 AI Security Hub
LLM & RAG Defense Engine
cyberdudebivash.in ➔
🛠️ Tools Store
Enterprise Toolkits
tools.cyberdudebivash.com ➔
🎓 Academy
Security Masterclasses
academy.cyberdudebivash.com ➔

AI Security Neural Network & Platform Status

Active telemetry monitoring for core operational platforms and microservices.

Sentinel APEX CTI Core

Endpoint: intel.cyberdudebivash.com
Operational | 99.99% Uptime

AI Security Hub Gateway

Endpoint: cyberdudebivash.in
Operational | Active Defense

Real-Time Threat Intel APIs

Endpoint: intel.cyberdudebivash.com/api/v1/intel/apex.json
Operational | STIX 2.1 Ready

Commercial Tools Store

Endpoint: tools.cyberdudebivash.com
Operational | Gumroad Instant Access
DEVELOPER API GATEWAY

CYBERDUDEBIVASH® Threat Intelligence APIs

Automated JSON threat feeds and CTI endpoints for SIEM, SOAR, and AI Agent integration.

GET
/api/v1/intel/latest.json
Latest verified threat indicators, C2 IP addresses, and malicious file hashes.
GET
/api/v1/intel/apex.json
Sentinel APEX priority threat intelligence telemetry and APT campaign correlations.
GET
/api/v1/intel/ai_summary.json
AI-generated threat intelligence briefings and executive vulnerability summaries.
GET
/api/feed.json
High-speed JSON intelligence feed for automated firewall & WAF blocklists.

Enterprise Cybersecurity & AI Security Services

Direct consulting, penetration testing, and security advisory by Chief Security Architect Bivash Kumar Nayak.

🤖

AI Red Teaming & LLM Audit

Prompt injection assessment, RAG poison testing, and Model Context Protocol (MCP) tool security audits.

☁️

Multi-Cloud Posture Review

AWS, Azure, GCP, Kubernetes, and Docker environment hardening aligned with CIS & NIST SP 800-53.

🎯

Threat Intelligence & CTI Advisory

Custom Sigma/YARA rule engineering, threat actor profiling, and SIEM integration (Sentinel, Splunk, Elastic).

🛡️

SOC Operations & DFIR Advisory

SLA metrics optimization (MTTD/MTTR), automated Incident Response runbooks, and forensics analysis.

Active Compliance & Corporate Registrations

Verified legal identity, government certifications, and enterprise corporate credentials.

📜
GSTIN Registration
21ARKPN8270G1ZP
CYBERDUDEBIVASH PVT LTD
🏢
MSME Udyam Certification
UDYAM-OD-19-0133456
NIC Code: 63122 (Security & Data)
🚀
Startup India Registry
IN-0426-9439SC
Recognized AI Security Startup
🔑
PAN & Digital Identity
PAN: ARKPN8270G
eMudhra Verified Profile

GitHub Innovation & Open Source Security

Production security tools, public research repositories, and open CTI frameworks.

📦 CYBERDUDEBIVASH-THREAT-INTEL-PLATFORM
Enterprise CTI automation platform and STIX 2.1 indicator feeder.
Python • REST API • STIX 2.1
📦 cyberdudebivash-ai-security-hub
AI guardrail framework, prompt injection rules, and LLM defense modules.
Python • OWASP LLM • Guardrails
📦 cyberdudebivash-tools-store
Official cybersecurity tools store manifests and CLI toolkit packaging.
Python • CLI • Packaging

Corporate Headquarters & Contact Command

Connect directly with CYBERDUDEBIVASH® enterprise security leadership.

Official Enterprise Channels

LinkedIn ↗ X (Twitter) ↗ GitHub ↗ Instagram ↗ Facebook ↗ Fiverr Pro ↗

API Response Preview

× 
Loading API payload...

Friday, December 19, 2025

MalwareBazaar API Quick-Start Script (CYBERDUDEBIVASH EDITION)

CYBERDUDEBIVASH


 Daily Threat Intel by CyberDudeBivash
Zero-days, exploit breakdowns, IOCs, detection rules & mitigation playbooks.
WWW.CYBERDUDEBIVASH.COM CYBERDUDEBIVASH PVT LTD


#!/usr/bin/env python3
"""
MalwareBazaar API Quick-Start (CYBERDUDEBIVASH EDITION)
Defensive usage: query metadata for triage, threat intel, IOC enrichment.

Features:
- Query by hash (sha256/md5/sha1)
- Get recent samples
- Search by tag or signature
- Save results to JSON and optional CSV
- Optional download (OFF by default) for controlled lab-only use

Docs: https://bazaar.abuse.ch/api/
"""

from __future__ import annotations

import argparse
import csv
import json
import os
import time
from typing import Any, Dict, List, Optional

import requests

API_URL = "https://mb-api.abuse.ch/api/v1/"


def post_api(payload: Dict[str, Any], timeout: int = 20) -> Dict[str, Any]:
    r = requests.post(API_URL, data=payload, timeout=timeout)
    r.raise_for_status()
    return r.json()


def write_json(path: str, obj: Any) -> None:
    os.makedirs(os.path.dirname(path) or ".", exist_ok=True)
    with open(path, "w", encoding="utf-8") as f:
        json.dump(obj, f, indent=2, ensure_ascii=False)


def write_csv(path: str, rows: List[Dict[str, Any]], field_order: Optional[List[str]] = None) -> None:
    if not rows:
        return
    os.makedirs(os.path.dirname(path) or ".", exist_ok=True)

    # pick stable fields
    if field_order is None:
        # common MalwareBazaar keys
        field_order = [
            "sha256_hash", "md5_hash", "sha1_hash", "file_name", "file_type",
            "file_type_mime", "file_size", "first_seen", "last_seen", "reporter",
            "signature", "tags", "intelligence"
        ]
        # add any unknown fields
        for k in rows[0].keys():
            if k not in field_order:
                field_order.append(k)

    with open(path, "w", newline="", encoding="utf-8") as f:
        w = csv.DictWriter(f, fieldnames=field_order)
        w.writeheader()
        for row in rows:
            clean = dict(row)
            # flatten lists/dicts for csv
            for k, v in list(clean.items()):
                if isinstance(v, (list, dict)):
                    clean[k] = json.dumps(v, ensure_ascii=False)
            w.writerow({k: clean.get(k, "") for k in field_order})


def normalize_rows(resp: Dict[str, Any]) -> List[Dict[str, Any]]:
    """
    MalwareBazaar usually returns:
      {"query_status":"ok","data":[{...},{...}]}
    or query_status not ok.
    """
    if resp.get("query_status") != "ok":
        return []
    data = resp.get("data")
    if isinstance(data, list):
        return data
    if isinstance(data, dict):
        return [data]
    return []


def download_sample(sha256: str, out_dir: str, timeout: int = 60) -> str:
    """
    Lab-only: downloads the sample zip from MalwareBazaar.
    Requires: query=get_file, sha256_hash=...
    """
    os.makedirs(out_dir, exist_ok=True)
    payload = {"query": "get_file", "sha256_hash": sha256}
    r = requests.post(API_URL, data=payload, timeout=timeout)
    r.raise_for_status()

    # API returns raw file content for get_file
    out_path = os.path.join(out_dir, f"{sha256}.zip")
    with open(out_path, "wb") as f:
        f.write(r.content)
    return out_path


def main() -> int:
    ap = argparse.ArgumentParser(description="MalwareBazaar API Quick-Start (CYBERDUDEBIVASH EDITION)")
    sub = ap.add_subparsers(dest="cmd", required=True)

    # hash
    p_hash = sub.add_parser("hash", help="Query by hash (sha256/md5/sha1)")
    p_hash.add_argument("--value", required=True, help="Hash value to search")
    p_hash.add_argument("--out", default="out/mb_hash.json", help="Output JSON path")
    p_hash.add_argument("--csv", default="", help="Optional CSV output path")
    p_hash.add_argument("--download", action="store_true", help="(LAB ONLY) Download sample zip (OFF by default)")
    p_hash.add_argument("--download-dir", default="out/downloads", help="Download directory (when --download)")

    # recent
    p_recent = sub.add_parser("recent", help="Get recent samples")
    p_recent.add_argument("--limit", type=int, default=50, help="Number of recent items (practical limit applies)")
    p_recent.add_argument("--out", default="out/mb_recent.json", help="Output JSON path")
    p_recent.add_argument("--csv", default="", help="Optional CSV output path")

    # tag
    p_tag = sub.add_parser("tag", help="Search by tag (e.g. 'stealer', 'ransomware')")
    p_tag.add_argument("--value", required=True, help="Tag to search")
    p_tag.add_argument("--limit", type=int, default=50, help="Limit (best-effort)")
    p_tag.add_argument("--out", default="out/mb_tag.json", help="Output JSON path")
    p_tag.add_argument("--csv", default="", help="Optional CSV output path")

    # signature
    p_sig = sub.add_parser("signature", help="Search by signature (family)")
    p_sig.add_argument("--value", required=True, help="Signature/family to search")
    p_sig.add_argument("--limit", type=int, default=50, help="Limit (best-effort)")
    p_sig.add_argument("--out", default="out/mb_signature.json", help="Output JSON path")
    p_sig.add_argument("--csv", default="", help="Optional CSV output path")

    args = ap.parse_args()

    # Run
    if args.cmd == "hash":
        resp = post_api({"query": "get_info", "hash": args.value})
        rows = normalize_rows(resp)
        write_json(args.out, resp)
        if args.csv:
            write_csv(args.csv, rows)

        # Optional lab-only download: choose sha256 from response if available
        if args.download:
            if not rows:
                raise SystemExit("No data returned; cannot download.")
            sha256 = rows[0].get("sha256_hash")
            if not sha256:
                raise SystemExit("No sha256_hash in response; cannot download.")
            path = download_sample(sha256, args.download_dir)
            print(f"[CYBERDUDEBIVASH] Downloaded sample ZIP to: {path}")

        print(f"[CYBERDUDEBIVASH] Saved JSON: {args.out}")
        if args.csv:
            print(f"[CYBERDUDEBIVASH] Saved CSV: {args.csv}")
        return 0

    if args.cmd == "recent":
        resp = post_api({"query": "get_recent", "selector": str(args.limit)})
        rows = normalize_rows(resp)
        write_json(args.out, resp)
        if args.csv:
            write_csv(args.csv, rows)
        print(f"[CYBERDUDEBIVASH] Saved JSON: {args.out}")
        if args.csv:
            print(f"[CYBERDUDEBIVASH] Saved CSV: {args.csv}")
        return 0

    if args.cmd == "tag":
        # MalwareBazaar supports: query=get_taginfo, tag=...
        resp = post_api({"query": "get_taginfo", "tag": args.value})
        rows = normalize_rows(resp)
        # best-effort limit client-side
        if rows and args.limit:
            rows = rows[: args.limit]
            resp = {"query_status": "ok", "data": rows, "note": "client_side_limit_applied"}
        write_json(args.out, resp)
        if args.csv:
            write_csv(args.csv, rows)
        print(f"[CYBERDUDEBIVASH] Saved JSON: {args.out}")
        if args.csv:
            print(f"[CYBERDUDEBIVASH] Saved CSV: {args.csv}")
        return 0

    if args.cmd == "signature":
        # MalwareBazaar supports: query=get_siginfo, signature=...
        resp = post_api({"query": "get_siginfo", "signature": args.value})
        rows = normalize_rows(resp)
        if rows and args.limit:
            rows = rows[: args.limit]
            resp = {"query_status": "ok", "data": rows, "note": "client_side_limit_applied"}
        write_json(args.out, resp)
        if args.csv:
            write_csv(args.csv, rows)
        print(f"[CYBERDUDEBIVASH] Saved JSON: {args.out}")
        if args.csv:
            print(f"[CYBERDUDEBIVASH] Saved CSV: {args.csv}")
        return 0

    return 2


if __name__ == "__main__":
    raise SystemExit(main())


Real-time usage examples 

1) Hash enrichment (SOC IOC triage)

python malbaz_quickstart.py hash --value <SHA256_OR_MD5_OR_SHA1> --out out/hash.json --csv out/hash.csv

2) Pull latest samples for daily hunting

python malbaz_quickstart.py recent --limit 100 --out out/recent.json --csv out/recent.csv

3) Hunt by tag (e.g., “stealer”, “ransomware”)

python malbaz_quickstart.py tag --value stealer --limit 50 --out out/tag_stealer.json

4) Search by malware family/signature

python malbaz_quickstart.py signature --value "AgentTesla" --limit 50 --out out/agenttesla.json

5) (LAB ONLY) Download sample zip for isolated sandbox

python malbaz_quickstart.py hash --value <SHA256> --download --download-dir out/downloads

SOC best-practice notes (CYBERDUDEBIVASH authority)

  • Use this script for metadata enrichment + IOC pipeline, not “auto-detonation.”

  • Keep downloads OFF by default and only enable in a sandbox environment.

  • Ship JSON/CSV to SIEM, then correlate with:

    • endpoint process telemetry

    • DNS / proxy logs

    • authentication anomalies

    • email/phishing events


#cyberdudebivash #CyberDudeBivash #MalwareBazaar #ThreatIntel #MalwareAnalysis
#SOC #ThreatHunting #DFIR #IncidentResponse #DetectionEngineering
#IOC #YARA #ReverseEngineering #SecurityAutomation #PythonSecurity
#SIEM #Splunk #Elastic #CyberDefense #CyberSecurity
Posted by at
Labels:

No comments:

Post a Comment

Subscribe to: Post Comments (Atom)