Counter Surveillance

Counter-Surveillance Security Skill

Trail of Bits-style defensive security assessment focused on surveillance resistance, metadata minimization, and operational security hardening.

When to Use

• Auditing privacy-sensitive applications
• Reviewing journalist/activist threat models
• Hardening communications platforms
• Assessing metadata leakage in protocols and applications
• Evaluating anonymous communication systems
• Reviewing data retention and logging policies
• Assessing exposure to lawful intercept and legal compulsion

Threat Model Tiers

Structure analysis by adversary capability. Each tier subsumes the capabilities of all lower tiers.

Always define the threat tier before beginning an audit. Controls adequate for Tier 1 are meaningless against Tier 4.

Surveillance Surface Taxonomy

Network Metadata

• DNS queries (reveal browsing intent even with HTTPS)
• TLS SNI field (reveals destination hostname in plaintext pre-ECH)
• Connection timing and duration patterns
• Packet sizes and inter-arrival times (traffic fingerprinting)
• IP address correlation across sessions

Application Metadata

• Push notification payloads (visible to Apple/Google)
• App store analytics and telemetry
• Crash reports containing device state
• Update check frequency and timing
• OAuth token exchanges revealing service usage

Device Fingerprinting

• Browser fingerprint (canvas, WebGL, fonts, screen resolution)
• Hardware identifiers (IMEI, MAC address, serial numbers)
• Sensor data (accelerometer, gyroscope uniqueness)
• Installed font and plugin enumeration
• TLS client fingerprint (JA3/JA4)

Location Tracking

• GPS and GNSS precise positioning
• Cell tower triangulation (passive, no user consent needed)
• WiFi positioning (BSSID databases)
• Bluetooth beacons and BLE scanning
• IP geolocation databases

Communications Metadata

• Who-talks-to-whom social graph (contact chaining)
• Timing and frequency of communication
• Message size and duration patterns
• Group membership inference
• Presence and online status indicators

Financial Tracking

• Payment processor transaction logs
• Blockchain analysis and address clustering
• Loyalty program purchase correlation
• ATM and POS location tracking
• Subscription service usage patterns

Audit Methodology

1. Map data flows — Diagram all metadata emission points from client to server to third party. Include DNS resolvers, CDNs, analytics, crash reporting, and push notification services.

2. Assess encryption coverage — Evaluate protection for data in transit (TLS 1.3, certificate pinning), at rest (full-disk encryption, per-record encryption), and in use (enclaves, MPC, FHE where applicable).

3. Evaluate authentication without identification — Can users authenticate to the service without revealing real-world identity? Review account creation flow, recovery mechanisms, and payment requirements.

4. Review logging and data retention — What identifiers are logged server-side? For how long? Under what legal jurisdiction? Can logs be compelled via subpoena, NSL, or FISA order?

5. Test traffic analysis resistance — Are encrypted messages padded to uniform size? Is timing randomized? Is cover traffic generated? Can an observer distinguish message types by size or pattern?

6. Assess supply chain integrity — Are builds reproducible? Are dependencies pinned and audited? Is the signing key air-gapped? Can users verify binary-to-source correspondence?

7. Review jurisdiction and legal compulsion exposure — Map server locations, corporate domicile, and applicable legal frameworks. Identify single points of legal compulsion (one subpoena reveals all user data).

Code Review Patterns

Look for these anti-patterns in privacy-sensitive codebases:

# FINDING: Unnecessary logging of user identifiers
logger.info(f"Request from user {user_id} at {ip_address}")
# FIX: Log only what is operationally necessary; use rotating pseudonyms

# FINDING: Unpadded encrypted messages reveal content type
encrypted = encrypt(message)
# FIX: Pad all messages to fixed size buckets before encryption
encrypted = encrypt(pad_to_bucket(message))

# FINDING: Timestamps with unnecessary precision
created_at = datetime.utcnow()  # microsecond precision
# FIX: Round to reduce temporal fingerprinting
created_at = datetime.utcnow().replace(minute=0, second=0, microsecond=0)

# FINDING: Device identifiers transmitted to server
analytics.send(device_id=get_hardware_id())
# FIX: Use unlinkable session tokens; never transmit hardware IDs

# FINDING: DNS queries leaking browsing intent
requests.get("https://sensitive-site.org/resource")
# FIX: Enforce DNS-over-HTTPS/TLS; consider Tor for DNS resolution

# FINDING: Push notification content visible to platform provider
send_push(user, title="New message from Alice")
# FIX: Send empty/tombstone push; fetch content via E2E encrypted channel

# FINDING: Certificate pinning absent or bypassable
session = requests.Session()  # no pin validation
# FIX: Pin leaf or intermediate cert; detect and alert on pin failure

Hardening Checklist

• Network anonymity — Tor/onion routing for metadata-resistant connectivity
• E2E encrypted messaging — Signal protocol or equivalent with forward secrecy
• Metadata-resistant protocols — Sealed Sender, Private Information Retrieval, oblivious HTTP
• Encrypted DNS — DNS-over-HTTPS or DNS-over-TLS with trusted resolver; ECH for SNI
• Reproducible builds — Deterministic compilation; users can verify binary matches source
• Air-gapped signing — Software release signing keys on offline hardware
• Memory-safe crypto — Rust, Go, or formally verified C for cryptographic implementations
• Minimal logging — Log only what is operationally essential; auto-expire within days
• Jurisdiction diversity — Distribute infrastructure across non-cooperating legal jurisdictions
• Warrant canary — Publish regular signed statements of non-compromise; absence signals compulsion
• Anonymous account creation — No phone number, no email, no payment required
• Forward secrecy — Compromise of long-term keys does not reveal past communications

Related Skills

• static-security-analyzer — Automated code scanning for security vulnerabilities
• webapp-testing — Web application penetration testing methodology
• secure-workflow-guide — Secure development lifecycle and CI/CD hardening

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