This commit adds: - Database migrations for app_delta fingerprints and client certificates - Scripts for certificate generation and fingerprint backfilling - Comprehensive security audit reports and findings tracking - Implementation documentation for certificate authentication - Test utilities for certificate renewal and fingerprinting - GE-ENFORCE collector fix documentation Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
790 lines
31 KiB
HTML
790 lines
31 KiB
HTML
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</style>
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</head>
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<body>
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<div class="container">
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<header>
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<h1>ShopDB Security Audit Report</h1>
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<div class="meta">
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<div class="meta-grid">
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<div class="meta-item">
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<div class="meta-label">Date</div>
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September 12, 2026
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</div>
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<div class="meta-item">
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<div class="meta-label">Duration</div>
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3 hours 13 minutes
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</div>
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<div class="meta-item">
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<div class="meta-label">Cost</div>
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$60.42
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</div>
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<div class="meta-item">
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<div class="meta-label">Methodology</div>
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Cloudflare Glasswing
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</div>
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</div>
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</div>
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</header>
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<div class="executive-summary">
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<h2 style="margin-top: 0; border: none;">Executive Summary</h2>
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<p>A comprehensive 8-stage vulnerability discovery audit was conducted against the ShopDB manufacturing asset management system using the Glasswing methodology (Recon, Hunt, Validate, Gapfill, Dedupe, Trace, Feedback, Report). The audit discovered <strong>7 confirmed exploitable vulnerabilities</strong> across authentication, authorization, cryptography, and resource management domains.</p>
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<div class="stats-grid">
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<div class="stat-card">
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<div class="stat-number">7</div>
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<div class="stat-label">Confirmed Vulnerabilities</div>
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</div>
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<div class="stat-card">
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<div class="stat-number">3</div>
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<div class="stat-label">HIGH Severity</div>
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</div>
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<div class="stat-card">
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<div class="stat-number">100%</div>
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<div class="stat-label">Reachable</div>
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</div>
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<div class="stat-card">
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<div class="stat-number">19%</div>
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<div class="stat-label">Confirmation Rate</div>
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</div>
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</div>
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</div>
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<h2>Risk Breakdown</h2>
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<table>
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<thead>
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<tr>
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<th>Severity</th>
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<th>Count</th>
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<th>Risk Level</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td><span class="badge badge-high">HIGH</span></td>
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<td>3</td>
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<td>Critical attention required</td>
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</tr>
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<tr>
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<td><span class="badge badge-medium">MEDIUM</span></td>
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<td>3</td>
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<td>Important but lower priority</td>
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</tr>
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<tr>
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<td><span class="badge badge-low">LOW</span></td>
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<td>1</td>
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<td>Informational</td>
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</tr>
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</tbody>
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</table>
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<h2>Confirmed Vulnerabilities</h2>
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<!-- Vulnerability 1 -->
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<div class="vulnerability-card severity-high">
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<div class="vulnerability-header" style="background: #fee; color: #c0392b;">
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<span class="badge badge-high">HIGH</span>
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<span class="badge badge-cwe">CWE-345</span>
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1. Agent Binary Injection
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</div>
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<div class="vulnerability-body">
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Description</div>
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<p>The agent binary upload endpoint accepts ANY Windows PE executable without code signing or publisher verification. A compromised operator with <code>endpoints.agentpackage</code> + <code>endpoints.agentupdate</code> permissions can upload and deploy malicious binaries that execute as SYSTEM across the entire Windows endpoint fleet.</p>
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</div>
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Location</div>
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<p><code>plugins/endpoints/api/agentupload.py:127-131</code></p>
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</div>
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Attack Chain</div>
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<ol>
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<li>POST /api/endpoints/siteagent/binaries/agent with malicious PE (only checks for "MZ" header)</li>
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<li>Binary staged to instance/siteagent/agent/<version>/shopdbagent.exe</li>
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<li>Packaged as Application object in database</li>
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<li>POST /api/endpoints/<asset_id>/agentupgrade to push to endpoints</li>
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<li>PowerShell script executes with Unblock-File (bypasses SmartScreen) and runs as SYSTEM</li>
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</ol>
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</div>
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Vulnerable Code</div>
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<pre><code>def looks_like_pe(data):
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"""Whether data begins with the Windows PE 'MZ' magic."""
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return len(data) >= 2 and data[:2] == _PE_MAGIC</code></pre>
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</div>
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Impact</div>
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<ul>
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<li>Complete fleet compromise</li>
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<li>SYSTEM-level code execution on all Windows endpoints</li>
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<li>Persistence via Windows service replacement</li>
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<li>Active bypass of OS-level protections (SmartScreen)</li>
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</ul>
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</div>
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Remediation</div>
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<ul>
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<li><strong>Immediate:</strong> Implement Authenticode signature verification</li>
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<li><strong>Short-term:</strong> Maintain SHA256 whitelist of approved binaries</li>
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<li><strong>Long-term:</strong> Implement two-person rule (separate upload/deploy permissions)</li>
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<li><strong>Defense-in-depth:</strong> Remove Unblock-File from upgrade script</li>
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</ul>
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</div>
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</div>
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</div>
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<!-- Vulnerability 2 -->
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<div class="vulnerability-card severity-high">
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<div class="vulnerability-header" style="background: #fee; color: #c0392b;">
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<span class="badge badge-high">HIGH</span>
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<span class="badge badge-cwe">CWE-204</span>
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2. Account Enumeration via Lockout Disclosure
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</div>
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<div class="vulnerability-body">
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Description</div>
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<p>The login endpoint leaks valid usernames through observable HTTP status code and message differences. Locked accounts return HTTP 403 "Account is locked", while invalid usernames return HTTP 401 "Invalid username or password".</p>
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</div>
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Location</div>
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<p><code>shopdb/core/api/auth.py:102-107</code></p>
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</div>
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Attack Vector</div>
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<ol>
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<li>Make 5-6 failed login attempts with candidate username</li>
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<li>Observe response: 401 → 403 transition indicates valid username</li>
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<li>Per-IP rate limiting (30 req/5min) allows ~5 username tests per window per IP</li>
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</ol>
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</div>
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Impact</div>
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<ul>
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<li>Username enumeration enables targeted password attacks</li>
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<li>Reduces credential brute-force search space</li>
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<li>Undermines username anonymity security assumption</li>
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</ul>
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</div>
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Remediation</div>
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<ul>
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<li>Always return HTTP 401 "Invalid username or password" regardless of account state</li>
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<li>Enforce lockout post-password-check to eliminate timing differences</li>
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<li>Implement constant-time response strategy</li>
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</ul>
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</div>
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<div class="alert alert-info">
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<strong>Validation:</strong> Successfully reproduced against live target at http://192.168.100.1:5173
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</div>
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</div>
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</div>
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<!-- Vulnerability 3 -->
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<div class="vulnerability-card severity-high">
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<div class="vulnerability-header" style="background: #fee; color: #c0392b;">
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<span class="badge badge-high">HIGH</span>
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<span class="badge badge-cwe">CWE-208</span>
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3. Collector API Key Timing Attack
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</div>
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<div class="vulnerability-body">
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Description</div>
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<p>Collector API key authentication uses Python's <code>==</code> operator for string comparison instead of constant-time comparison (<code>hmac.compare_digest</code>). This allows byte-by-byte extraction of COLLECTOR_API_KEY via timing side-channel attacks.</p>
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</div>
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Location</div>
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<p><code>shopdb/core/api/collector.py:135-137</code></p>
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</div>
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Vulnerable Code</div>
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<pre><code># Line 135 - Non-constant-time comparison
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if expected_key and api_key == expected_key \
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and not _env_fallback_disabled(pluginname):
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return None</code></pre>
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</div>
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Correct Usage (Found Elsewhere)</div>
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<pre><code># setup.py:65, usb plugin, endpoints plugin
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if hmac.compare_digest(expected, provided):
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# Constant-time comparison</code></pre>
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</div>
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Impact</div>
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<ul>
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<li>Full API key extraction enables unauthenticated access to collector endpoints</li>
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<li>Create/update assets without authentication</li>
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<li>Inject false telemetry data</li>
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</ul>
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</div>
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<div class="vulnerability-section">
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<div class="vulnerability-section-title">Remediation</div>
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<pre><code>import hmac
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# Replace line 135 with:
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if expected_key and hmac.compare_digest(api_key, expected_key) \
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and not _env_fallback_disabled(pluginname):
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return None</code></pre>
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</div>
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</div>
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</div>
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<!-- Vulnerability 4 -->
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<div class="vulnerability-card severity-medium">
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<div class="vulnerability-header" style="background: #fff4e6; color: #d68910;">
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<span class="badge badge-medium">MEDIUM</span>
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<span class="badge badge-cwe">CWE-613</span>
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4. Refresh Token Non-Rotation
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</div>
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<div class="vulnerability-body">
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<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Description</div>
|
|
<p>The /refresh endpoint does not rotate refresh tokens when issuing new access tokens. A compromised refresh token remains valid for 30 days and can be reused unlimited times.</p>
|
|
</div>
|
|
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Location</div>
|
|
<p><code>shopdb/core/api/auth.py:160-186</code></p>
|
|
</div>
|
|
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Impact</div>
|
|
<ul>
|
|
<li>Stolen refresh token provides 30-day persistent access</li>
|
|
<li>No revocation mechanism (only full account deactivation)</li>
|
|
<li>Unlimited token generation enables log pollution</li>
|
|
</ul>
|
|
</div>
|
|
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Remediation</div>
|
|
<ul>
|
|
<li>Implement refresh token rotation (issue new refresh token with each refresh)</li>
|
|
<li>Implement JTI-based token blacklist</li>
|
|
<li>Add rate limiting to /refresh endpoint</li>
|
|
<li>Reduce refresh token lifetime to 7 days</li>
|
|
</ul>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- Vulnerability 5 -->
|
|
<div class="vulnerability-card severity-medium">
|
|
<div class="vulnerability-header" style="background: #fff4e6; color: #d68910;">
|
|
<span class="badge badge-medium">MEDIUM</span>
|
|
<span class="badge badge-cwe">CWE-770</span>
|
|
5. Token Refresh Rate Limit Bypass
|
|
</div>
|
|
<div class="vulnerability-body">
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Description</div>
|
|
<p>The /api/auth/refresh endpoint lacks rate limiting. In contrast, /api/auth/login implements fixed-window rate limiting (30 req/5min). Successfully executed 100 token refresh requests in 3.8 seconds (26.3 req/s).</p>
|
|
</div>
|
|
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Location</div>
|
|
<p><code>shopdb/core/api/auth.py:160-186</code></p>
|
|
</div>
|
|
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Impact</div>
|
|
<ul>
|
|
<li>DoS via database query spam</li>
|
|
<li>Log pollution hinders forensic analysis</li>
|
|
<li>Enables rapid token generation for distributed attacks</li>
|
|
</ul>
|
|
</div>
|
|
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Remediation</div>
|
|
<pre><code># Add rate limiting decorator
|
|
@auth_bp.route('/refresh', methods=['POST'])
|
|
@limiter.limit("10 per minute")
|
|
@jwt_required(refresh=True)
|
|
def refresh():
|
|
...</code></pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- Vulnerability 6 -->
|
|
<div class="vulnerability-card severity-medium">
|
|
<div class="vulnerability-header" style="background: #fff4e6; color: #d68910;">
|
|
<span class="badge badge-medium">MEDIUM</span>
|
|
<span class="badge badge-cwe">CWE-307</span>
|
|
6. File Upload DoS
|
|
</div>
|
|
<div class="vulnerability-body">
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Description</div>
|
|
<p>File upload endpoints lack rate limiting. An authenticated user with upload permissions can repeatedly upload large files (up to 256MB per request) without throttling.</p>
|
|
</div>
|
|
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Location</div>
|
|
<p><code>shopdb/config.py:145-151</code></p>
|
|
</div>
|
|
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Affected Endpoints</div>
|
|
<ul>
|
|
<li>/api/endpoints/siteagent/binaries/<binkey></li>
|
|
<li>/api/applications/<app_id>/package</li>
|
|
<li>Others identified in Hunt Round 4</li>
|
|
</ul>
|
|
</div>
|
|
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Impact</div>
|
|
<ul>
|
|
<li>Disk exhaustion (repeated 128-256MB uploads)</li>
|
|
<li>Memory exhaustion (file processing)</li>
|
|
<li>Amplifies other upload vulnerabilities</li>
|
|
</ul>
|
|
</div>
|
|
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Remediation</div>
|
|
<pre><code>from flask_limiter import Limiter
|
|
|
|
@upload_bp.before_request
|
|
@limiter.limit("10 per hour")
|
|
def rate_limit_uploads():
|
|
pass</code></pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- Vulnerability 7 -->
|
|
<div class="vulnerability-card severity-low">
|
|
<div class="vulnerability-header" style="background: #f0f0f0; color: #555;">
|
|
<span class="badge badge-low">LOW</span>
|
|
<span class="badge badge-cwe">CWE-362</span>
|
|
7. Race Condition in Event Deduplication
|
|
</div>
|
|
<div class="vulnerability-body">
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Description</div>
|
|
<p>Event deduplication check-then-insert (TOCTOU) race allows duplicate EndpointEvent records. Concurrent collector POSTs can both bypass the deduplication check, causing IntegrityError that aborts the entire transaction and loses ALL telemetry in the batch.</p>
|
|
</div>
|
|
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Location</div>
|
|
<p><code>plugins/endpoints/plugin.py:1259-1278</code></p>
|
|
</div>
|
|
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Impact</div>
|
|
<ul>
|
|
<li>Transaction rollback loses state updates AND other events</li>
|
|
<li>Defense-in-depth mechanism becomes failure mode under load</li>
|
|
</ul>
|
|
</div>
|
|
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Remediation</div>
|
|
<pre><code># Option 1: Row-level locking
|
|
rows = db.session.query(...)
|
|
.with_for_update() # Acquire row locks
|
|
.all()
|
|
|
|
# Option 2: PostgreSQL ON CONFLICT
|
|
INSERT INTO endpointevent (...) VALUES (...)
|
|
ON CONFLICT (assetid, eventchannel, eventrecordid) DO NOTHING;</code></pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<h2>Additional Findings</h2>
|
|
<div class="alert alert-warning">
|
|
<strong>40 unvalidated findings</strong> discovered in Hunt Round 4 (budget exhausted before validation). Based on historical false positive rates (80% rejection), approximately 8 of these 40 may be real vulnerabilities.
|
|
<br><br>
|
|
<strong>Categories:</strong>
|
|
<ul style="margin-top: 10px;">
|
|
<li>File upload validation issues: 11 findings</li>
|
|
<li>Rate limiting gaps: 6 findings</li>
|
|
<li>Race conditions: 3 findings</li>
|
|
<li>Info disclosure: 1 finding</li>
|
|
<li>Token management: 1 finding</li>
|
|
<li>Timing attacks: 1 finding</li>
|
|
<li>Auth issues: 1 finding</li>
|
|
</ul>
|
|
</div>
|
|
|
|
<h2>Remediation Priority</h2>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>Timeline</th>
|
|
<th>Vulnerability</th>
|
|
<th>Action</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td><strong>Week 1</strong><br>(Immediate)</td>
|
|
<td>#1: Agent Binary Injection</td>
|
|
<td>Implement Authenticode signature verification</td>
|
|
</tr>
|
|
<tr>
|
|
<td><strong>Week 1</strong><br>(Immediate)</td>
|
|
<td>#2: Account Enumeration</td>
|
|
<td>Fix constant-time responses (always 401)</td>
|
|
</tr>
|
|
<tr>
|
|
<td><strong>Week 1</strong><br>(Immediate)</td>
|
|
<td>#3: Timing Attack</td>
|
|
<td>Replace == with hmac.compare_digest()</td>
|
|
</tr>
|
|
<tr>
|
|
<td><strong>Weeks 2-4</strong><br>(Short-term)</td>
|
|
<td>#5: Rate Limit Bypass</td>
|
|
<td>Add rate limiting to /refresh endpoint</td>
|
|
</tr>
|
|
<tr>
|
|
<td><strong>Weeks 2-4</strong><br>(Short-term)</td>
|
|
<td>#4: Token Non-Rotation</td>
|
|
<td>Implement refresh token rotation</td>
|
|
</tr>
|
|
<tr>
|
|
<td><strong>Weeks 2-4</strong><br>(Short-term)</td>
|
|
<td>#6: Upload DoS</td>
|
|
<td>Add rate limiting to upload endpoints</td>
|
|
</tr>
|
|
<tr>
|
|
<td><strong>Month 2+</strong><br>(Long-term)</td>
|
|
<td>#7: Race Condition</td>
|
|
<td>Implement SELECT FOR UPDATE or ON CONFLICT</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
|
|
<h2>Audit Methodology</h2>
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Stages Completed</div>
|
|
<ol>
|
|
<li><strong>Recon:</strong> Mapped 10 subsystems, 11 entry points</li>
|
|
<li><strong>Hunt Round 1-3:</strong> 31 tasks, 36 potential findings</li>
|
|
<li><strong>Validate Round 1-3:</strong> 7 confirmed, 29 rejected (19% confirmation rate)</li>
|
|
<li><strong>Gapfill 1-2:</strong> Identified coverage gaps, added 16 tasks</li>
|
|
<li><strong>Dedupe:</strong> Grouped into 7 unique vulnerabilities</li>
|
|
<li><strong>Trace:</strong> All 7 confirmed reachable from attacker input</li>
|
|
<li><strong>Feedback:</strong> Generated 39 additional hunt tasks</li>
|
|
<li><strong>Hunt Round 4:</strong> 39 tasks, 40 findings (unvalidated, budget exhausted)</li>
|
|
</ol>
|
|
</div>
|
|
|
|
<div class="vulnerability-section">
|
|
<div class="vulnerability-section-title">Adversarial Validation</div>
|
|
<p>Each finding was challenged by a second AI agent attempting to disprove it. Only 19% of initial findings survived validation (7 confirmed, 29 rejected as false positives). This high rejection rate demonstrates the effectiveness of adversarial validation in eliminating false positives.</p>
|
|
</div>
|
|
|
|
<h2>Recommendations</h2>
|
|
<ol>
|
|
<li><strong>Fix immediate vulnerabilities</strong> (Week 1 priority)</li>
|
|
<li><strong>Add security testing</strong> to CI/CD pipeline</li>
|
|
<li><strong>Periodic audits</strong> - quarterly recommended</li>
|
|
<li><strong>Code review focus</strong> - constant-time comparisons, rate limiting patterns</li>
|
|
<li><strong>Budget for Round 4 validation</strong> - $20 to validate 40 additional findings</li>
|
|
</ol>
|
|
|
|
<footer style="margin-top: 60px; padding-top: 20px; border-top: 2px solid #ecf0f1; color: #7f8c8d; font-size: 0.9em;">
|
|
<p><strong>Report Generated:</strong> September 12, 2026 at 15:35 EDT</p>
|
|
<p><strong>Audit Tool:</strong> evilsocket/audit v1.x (Cloudflare Project Glasswing)</p>
|
|
<p><strong>Model:</strong> AWS Bedrock Gov - Claude Sonnet 4.5</p>
|
|
<p><strong>Test Environment:</strong> http://192.168.100.1:5173 (local dev instance)</p>
|
|
</footer>
|
|
</div>
|
|
</body>
|
|
</html>
|