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Introduction:
Disinformation and influence operations have evolved from state-sponsored propaganda to AI-driven, real-time attacks targeting corporate reputations, election integrity, and public health. As highlighted by the upcoming “Journée d’Étude sur la Désinformation et l’Influence” in Marseille (May 21, 2026), cybersecurity professionals must shift from passive monitoring to active defense against psychological and technical manipulation. This article extracts actionable techniques from the event’s themes—historical roots, psychological mechanisms, and wargame workshops—to deliver a hands-on guide for detecting, analyzing, and mitigating influence campaigns using OSINT, forensic analysis, and AI countermeasures.
Learning Objectives:
- Identify and trace disinformation campaigns using open-source intelligence (OSINT) and network forensics.
- Deploy Linux/Windows command-line tools to analyze metadata, detect botnets, and map influence networks.
- Implement defensive playbooks against social engineering, deepfakes, and coordinated inauthentic behavior.
You Should Know:
1. OSINT Reconnaissance of Influence Networks
Start by collecting intelligence on suspected disinformation sources. Use the following Linux commands and tools to map domains, social media accounts, and infrastructure.
Step‑by‑step guide:
- Extract domain intelligence: Use `theHarvester` to gather emails, subdomains, and hosts associated with a disinformation domain.
theHarvester -d disinfo-site.com -b all -l 500 -f report.html
- Analyze SSL certificates for clues: Identify who registered a certificate (e.g., Let’s Encrypt logs) using `certspotter` or OpenSSL.
echo | openssl s_client -connect disinfo-site.com:443 -servername disinfo-site.com 2>/dev/null | openssl x509 -noout -issuer -subject -dates
- Windows PowerShell alternative: Resolve DNS history with `Resolve-DnsName` and `nslookup` to find fast-flux networks.
Resolve-DnsName disinfo-site.com -Type A | fl nslookup -type=ANY disinfo-site.com 8.8.8.8
- Map social media coordination: Use `Toutatis` (OSINT tool for Instagram/Twitter) or `Twint` (archived but replace with
Snscrape) to extract follower graphs and retweet patterns.snscrape twitter-user --user screen_name --jsonl > user_tweets.json
- Interpret results: Look for sudden spikes in account creation, identical posting times, and shared URL shorteners—hallmarks of coordinated inauthentic behavior.
- Forensic Analysis of Manipulated Media (Deepfakes & Metadata)
Disinformation often relies on altered images or videos. Verify media authenticity using command-line forensics.
Step‑by‑step guide:
- Check image metadata (Linux): Use `exiftool` to reveal GPS, software, and edit history.
exiftool -all -j suspicious.jpg | jq '.[] | {FileName, CreateDate, Software, GPSPosition}' - Detect deepfake audio with Python: Install `opensmile` and `wav2vec2` for spectral analysis (basic detection of unnatural artifacts).
import librosa y, sr = librosa.load('audio.wav') Compute spectral centroid; deepfakes often show irregular distributions centroid = librosa.feature.spectral_centroid(y=y, sr=sr) print(f"Spectral centroid variance: {centroid.var()}") - Windows command-line video frame extraction: Use `ffmpeg` to sample frames for reverse image search.
ffmpeg -i video.mp4 -vf "fps=1" frames/frame_%%04d.jpg
- Perform reverse image search on Yandex or Google via API: Use `googlesearch-python` to check if the image appeared earlier under a different context.
pip install googlesearch-python python -c "from googlesearch import search; print(list(search('url_of_image', num_results=5)))" - Mitigation: Train staff to use `InVID` browser plugin for real-time video verification; deploy AI-based deepfake detectors like Microsoft Video Authenticator in enterprise SOCs.
- Botnet and Troll Farm Detection Using Network Logs
Influence campaigns often leverage compromised IoT devices or cloud VPS. Analyze traffic patterns to identify automated coordination.
Step‑by‑step guide:
- Linux: Monitor real-time connections with `netstat` and
tcpdump.sudo tcpdump -i eth0 -nn -c 1000 'tcp and port 443' | grep -E "(\d{1,3}.){3}\d{1,3}" | sort | uniq -c | sort -nr - Windows: Use PowerShell to detect outbound beaconing (e.g., to known C2 servers).
Get-NetTCPConnection -State Established | Select-Object LocalAddress, RemoteAddress, RemotePort | Export-Csv -Path C:\soc\connections.csv Then cross-match RemoteAddress with threat intelligence feeds (e.g., AlienVault OTX)
- Deploy `Rita` (Black Hills InfoSec) for Zeek logs to identify beaconing patterns.
Install Zeek (formerly Bro) to capture network metadata, then run:sudo zeek -r capture.pcap rita import -c /etc/rita/config.yaml zeek_logs/ rita_db rita show-beacons rita_db disinfo_campaign
- Tutorial: High beaconing scores (frequency > 0.1 Hz, jitter < 0.2) indicate botnet C2 traffic. Block discovered IPs via firewall:
sudo iptables -A INPUT -s 192.0.2.0/24 -j DROP
- Cloud hardening: For AWS, automate threat intel updates using Lambda to modify security groups based on fresh IoCs from MISP.
4. Psychological Manipulation Playbooks – Blue Team Countermeasures
Adversaries use nudge theory, authority bias, and urgency. Build defensive playbooks in your SIEM/SOAR.
Step‑by‑step guide:
- Create a phishing simulation email with embedded tracking pixel (for training only):
<img src="http://your-c2-server.com/track?user=%%EMAIL%%" width="1" height="1">
- Linux: Monitor open rates using Apache logs.
tail -f /var/log/apache2/access.log | grep "track"
- Windows: Use PowerShell to parse Exchange message tracking logs for suspicious internal forwarding rules.
Get-MessageTrackingLog -EventId "SEND" -Start "2026-05-01" | Where-Object {$_.Recipients -like "@external.com"} | Export-Csv rules.csv - Mitigation: Enforce DMARC reject policy (
p=reject) and implement security awareness training that includes disinformation games similar to the “WarGame” in the Marseille event. Use open-source `GoPhish` to run internal influence drills. - API security: Social media APIs (Twitter, FB) are abused for coordination. Monitor API rate limits and anomalous posting intervals using Python:
import requests Check for pattern violations in tweet timestamps timestamps = [1640995200, 1640995210, 1640995220] example diffs = [t - timestamps[i-1] for i,t in enumerate(timestamps) if i>0] if all(d == 10 for d in diffs): print("Suspicious automation")
5. Cloud Hardening Against Influence Campaign Data Scraping
Attackers scrape user profiles to build psychographic models. Protect your cloud assets.
Step‑by‑step guide:
- AWS: Deploy WAF to block automated scrapers using rate-based rules.
aws wafv2 create-rule-group --name "AntiScraper" --capacity 500 --scope REGIONAL Add rule: count requests per 5 minutes, block if > 2000 from same IP
- Linux: Use `fail2ban` to dynamically ban IPs that hit `/api/user/` endpoints repeatedly.
sudo fail2ban-client set api_scraper addignoreip 192.0.2.0/8 sudo tail -f /var/log/fail2ban.log
- Windows IIS: Implement dynamic IP restrictions via PowerShell.
Install-WindowsFeature Web-IP-Security New-WebsitesDynamicIpRestriction -SiteName "Default Web Site" -MaxRequests 100 -DenyOnOverflow
- Vulnerability exploitation: Unauthenticated GraphQL endpoints can leak user relationships. Test for introspection queries:
{ __schema { types { name fields { name } } } } - Mitigation: Disable introspection in production, enable rate limiting, and use API gateways (Kong, Tyk) with request signing.
6. Wargame Exercise – Simulating a Disinformation Crisis
Based on the Marseille workshop, run a tabletop wargame to test defenses.
Step‑by‑step guide:
- Setup: Use open-source `Curveball` (disinformation simulation tool) or `SBT` (Simulation-Based Training). Create a fictitious social media blowup with a doctored PDF.
- Linux: Generate fake but realistic access logs for the exercise.
for i in {1..1000}; do echo "$(date +'%d/%b/%Y:%H:%M:%S') 192.168.1.$((RANDOM%255)) GET /fraud-report.pdf 404" >> /var/log/nginx/access.log; done - Windows: Create a PowerShell adversary emulation script to mimic disinfo posting.
$urls = @("https://t.co/fake1","https://bit.ly/fake2") foreach ($url in $urls) { Invoke-WebRequest -Uri $url -UserAgent "Mozilla/5.0 (Twitterbot)" } - Execute response playbook: 1) Identify patient zero, 2) Quarantine compromised accounts, 3) Publish refutation on official channels with cryptographic signing (e.g., using `gpg –verify` for press releases).
- Training modules: After the wargame, review MITRE ATT&CK techniques T1566 (Phishing) and T1534 (Internal Social Media Manipulation). Update incident response plans accordingly.
What Undercode Say:
- Key Takeaway 1: Disinformation is not just a content problem—it’s a technical infrastructure problem. OSINT and network forensics (e.g., beaconing detection with RITA, metadata extraction with exiftool) give defenders concrete evidence to counter influence operations.
- Key Takeaway 2: The Marseille event’s mix of psychology and wargaming is essential. Without hands-on simulation, teams fail to recognize manipulation patterns. Integrating Linux/Windows command-line tools into blue team drills creates measurable improvement in detection speed.
- Analysis: As AI-generated text and voice become indistinguishable, traditional signature-based defenses are obsolete. The future demands real-time collaboration between threat intel platforms (MISP, OpenCTI) and behavioral analytics. The most effective countermeasure remains cross-disciplinary—combining technical hardening (DMARC, WAF) with cognitive resilience training. The 8-euro registration for the Marseille study day is a bargain for any security professional serious about influence defense.
Prediction:
By 2028, disinformation campaigns will fully automate A/B testing of narratives using reinforcement learning from human feedback (RLHF). Small and medium enterprises will face “influence ransomware” – attackers will demand payment to stop spreading fake negative reviews. Cybersecurity roles will split: traditional SOC analysts will evolve into “influence defense engineers” who wield OSINT, deepfake detection APIs, and psychological forensics. Cloud providers (AWS, Azure) will offer “disinformation resilience” as a service, scanning outgoing content for manipulation patterns. The winning organizations will be those that embed the Marseille-style wargame into monthly drills, treating misinformation as a critical vulnerability class like SQLi or XSS.
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Reported By: Offensiveintelligence Marseille – Hackers Feeds
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