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Thibaud .’s post introduces 🗺️ La Table des Cartes d’Offensive Intelligence, a strategic resource for offensive intelligence, cyber warfare, and information operations. This tool provides:
– Syntheses of threat landscapes
– Interactive mappings of cyber conflicts
– Actor typologies (APT groups, hacktivists, state-sponsored entities)
– Analytical frameworks for intelligence and cybersecurity
🔗 Reference URL: Offensive Intelligence Table
You Should Know: Practical Cyber Intelligence Techniques
1. OSINT (Open-Source Intelligence) Data Gathering
Use these commands to collect intelligence on threat actors:
Harvesting domain info with WHOIS whois example.com Extracting subdomains using Amass amass enum -d example.com Fetching SSL certificate data openssl s_client -connect example.com:443 | openssl x509 -noout -text Using Maltego for threat mapping (GUI-based) maltego Scraping threat feeds with curl & jq curl -s https://otx.alienvault.com/api/v1/pulses/subscribed | jq '.results[].name'
2. Mapping Cyber Threats with MITRE ATT&CK
Leverage the MITRE ATT&CK framework for structured threat analysis:
Querying MITRE ATT&CK via CLI (using cURL) curl -s https://attack.mitre.org/api/v1/groups/ | jq '.[].name' Installing Atomic Red Team for adversary emulation git clone https://github.com/redcanaryco/atomic-red-team.git cd atomic-red-team ./install.sh
3. Psychological Operations (PSYOPS) Analysis
Since Thibaud mentions PSYOPS, here’s how to detect disinformation campaigns:
Analyzing Twitter bot networks with Botometer pip install botometer botometer --check @username Tracking propaganda domains with dnstwist dnstwist --registered example.com
4. Cyber Threat Intelligence (CTI) Automation
Automate intelligence gathering with Python:
import requests
from OTXv2 import OTXv2
otx = OTXv2("API_KEY")
pulses = otx.get_all_indicators()
for pulse in pulses:
print(pulse["name"], pulse["description"])
What Undercode Say
Cyber warfare is evolving beyond malware—information dominance is now key. Tools like La Table des Cartes d’Offensive Intelligence help analysts:
– Decode adversarial strategies (e.g., Russian hybrid warfare)
– Track cyber-mercenaries (e.g., DarkMatter, NSO Group)
– Simulate PSYOPS campaigns (e.g., deepfake propaganda)
Essential Linux Commands for Cyber Analysts:
Monitor network traffic for anomalies tcpdump -i eth0 'port 443' -w https_traffic.pcap Extract IOCs from logs with grep grep -E '(8.8.8.8|malware.com)' /var/log/syslog Analyze memory dumps with Volatility vol.py -f memory.dump windows.pslist
Windows Commands for Threat Hunting:
Check for lateral movement via RDP
Get-WinEvent -LogName "Microsoft-Windows-TerminalServices-LocalSessionManager/Operational"
Detect Mimikatz activity
Get-Process | Where-Object { $_.ProcessName -match "mimikatz" }
Extract persistence mechanisms
reg query HKLM\Software\Microsoft\Windows\CurrentVersion\Run
Prediction
Cyber warfare will increasingly blend AI-driven disinformation and automated exploit systems. Expect deepfake-augmented PSYOPS and AI-powered red-teaming tools by 2026.
Expected Output:
- A structured cyber intelligence workflow
- Verified OSINT/CTI commands
- PSYOPS detection techniques
- MITRE ATT&CK integration
- Windows/Linux threat-hunting snippets
References:
Reported By: Activity 7332639183632543744 – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
