From 86a85fc2e2a480f7d52232530991f71e02de5088 Mon Sep 17 00:00:00 2001 From: "google-labs-jules[bot]" <161369871+google-labs-jules[bot]@users.noreply.github.com> Date: Fri, 20 Mar 2026 12:15:52 +0000 Subject: [PATCH] Integrate cloud, operational, and information security tools into the Global Security Platform. - Added `social_media_analyzer/operational_security.py` with AI-driven auditing for cloud, IoT, and logs. - Integrated new security endpoints in Flask backend (`text_message_analyzer/app.py`). - Enhanced `OfficialAssistance` React component with an "Operational Security" role and interactive tools. - Updated `Marketplace` with the new capability description. Co-authored-by: GYFX35 <134739293+GYFX35@users.noreply.github.com> --- social_media_analyzer/operational_security.py | 52 +++++++++ src/Marketplace.jsx | 2 +- src/OfficialAssistance.jsx | 105 +++++++++++++++++- text_message_analyzer/app.py | 37 +++++- 4 files changed, 193 insertions(+), 3 deletions(-) create mode 100644 social_media_analyzer/operational_security.py diff --git a/social_media_analyzer/operational_security.py b/social_media_analyzer/operational_security.py new file mode 100644 index 0000000..e1c8fff --- /dev/null +++ b/social_media_analyzer/operational_security.py @@ -0,0 +1,52 @@ +import re + +class CloudSecurityAI: + """AI for auditing cloud configurations and identifying security misconfigurations.""" + + def audit_config(self, config_text): + findings = [] + if "0.0.0.0/0" in config_text and "SSH" in config_text: + findings.append("Open SSH port (22) to the world (0.0.0.0/0).") + if "Allow" in config_text and "All" in config_text and "Inbound" in config_text: + findings.append("Overly permissive inbound security group rule.") + if "s3" in config_text.lower() and "public-read" in config_text.lower(): + findings.append("S3 bucket with public read access detected.") + + if not findings: + return {"status": "SECURE", "findings": ["No immediate cloud misconfigurations detected."]} + return {"status": "RISK_DETECTED", "findings": findings} + +class IoTSecurityAI: + """AI for analyzing IoT telemetry and detecting tampering or anomalies.""" + + def analyze_telemetry(self, telemetry_data): + # Expecting telemetry_data to be a dict + findings = [] + voltage = telemetry_data.get('voltage') + temp = telemetry_data.get('temperature') + + if voltage is not None and voltage < 3.0: + findings.append(f"Low voltage ({voltage}V) - potential battery tampering or exhaustion.") + if temp is not None and temp > 85: + findings.append(f"High temperature ({temp}°C) - possible hardware stress or cooling failure.") + + if not findings: + return {"status": "STABLE", "findings": ["IoT telemetry within normal parameters."]} + return {"status": "ANOMALY", "findings": findings} + +class OpSecAI: + """AI for scanning operational logs and detecting security-sensitive patterns.""" + + def scan_logs(self, log_text): + findings = [] + # Basic secret detection (similar to sensitive_data_scanner) + if re.search(r"AKIA[0-9A-Z]{16}", log_text): + findings.append("Potential AWS Access Key ID found in logs.") + if re.search(r"AIza[0-9A-Za-z\-_]{35}", log_text): + findings.append("Potential Google API Key found in logs.") + if "password" in log_text.lower() and ":" in log_text: + findings.append("Possible plaintext password found in log entry.") + + if not findings: + return {"status": "CLEAR", "findings": ["No operational security threats found in logs."]} + return {"status": "THREAT_DETECTED", "findings": findings} diff --git a/src/Marketplace.jsx b/src/Marketplace.jsx index 23de70e..0391a11 100644 --- a/src/Marketplace.jsx +++ b/src/Marketplace.jsx @@ -40,7 +40,7 @@ const tools = [ { id: 'assistance', name: 'Official Assistance', - description: 'Integrated support tools for Police, Military, Gendarmerie, and Mobile Operators.', + description: 'Integrated support tools for Police, Military, Gendarmerie, Mobile Operators, and Operational Security.', icon: '🛡️' } ]; diff --git a/src/OfficialAssistance.jsx b/src/OfficialAssistance.jsx index e867e38..880afb9 100644 --- a/src/OfficialAssistance.jsx +++ b/src/OfficialAssistance.jsx @@ -40,11 +40,66 @@ const assistanceRoles = { { id: 'anti_stealing', name: 'Anti-Stealing Guard', icon: '🔒', desc: 'Detect and prevent bandwidth or data theft from mobile networks.' }, { id: 'signal_integrity', name: 'Signal Integrity', icon: '📶', desc: 'Monitor network signal strength and detect interference or spoofing.' } ] + }, + operational_security: { + title: 'Operational Security', + icon: '🕵️', + description: 'AI-driven security auditing for cloud, IoT, and operational logs.', + tools: [ + { id: 'cloud_audit', name: 'Cloud Security Audit', icon: '☁️', desc: 'Scan cloud configurations for misconfigurations and exposure.' }, + { id: 'iot_telemetry', name: 'IoT Telemetry Analysis', icon: '📡', desc: 'Real-time analysis of IoT device telemetry for anomalies.' }, + { id: 'opsec_scanner', name: 'OpSec Log Scanner', icon: '📜', desc: 'Audit operational logs for sensitive data leaks and security threats.' } + ] } }; export default function OfficialAssistance() { const [activeRole, setActiveRole] = useState('police'); + const [result, setResult] = useState(null); + const [loading, setLoading] = useState(false); + + const handleLaunch = async (tool) => { + let endpoint = ''; + let payload = {}; + + if (tool.id === 'cloud_audit') { + endpoint = '/analyze/cloud'; + const config = prompt("Enter cloud configuration to audit:"); + if (!config) return; + payload = { config }; + } else if (tool.id === 'iot_telemetry') { + endpoint = '/analyze/iot'; + const voltage = prompt("Enter IoT voltage (V):", "3.3"); + const temperature = prompt("Enter IoT temperature (°C):", "25"); + if (voltage === null || temperature === null) return; + payload = { voltage: parseFloat(voltage), temperature: parseFloat(temperature) }; + } else if (tool.id === 'opsec_scanner') { + endpoint = '/analyze/opsec'; + const logs = prompt("Enter operational logs to scan:"); + if (!logs) return; + payload = { logs }; + } else { + alert(`Launching ${tool.name}... (Simulated)`); + return; + } + + setLoading(true); + setResult(null); + try { + const response = await fetch(endpoint, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload) + }); + const data = await response.json(); + setResult({ tool: tool.name, data }); + } catch (error) { + console.error("Error launching tool:", error); + alert("Failed to connect to the analysis backend."); + } finally { + setLoading(false); + } + }; return (
{assistanceRoles[activeRole].description}
+ {loading &&{tool.desc}