Initial Query

Is it possible to read data directly from Linux /proc file system? I want to use regex to search for API keys and other strings

LLM Generation

Query

Is it possible to read data directly from Linux /proc file system? I want to use regex to search for API keys and other strings

Output

Yes, it's possible to read data from the Linux /proc filesystem. Here's a Python example that shows how to read and search through /proc files:

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import os
import re
import glob

def search_proc_file(filepath, pattern):
    try:
        with open(filepath, 'r') as f:
            content = f.read()
            matches = re.finditer(pattern, content)
            for match in matches:
                print(f"Found in {filepath}: {match.group()}")
    except (PermissionError, IOError, UnicodeDecodeError):
        # Some proc files may not be readable or might contain binary data
        pass

def scan_proc():
    # Common API key patterns
    patterns = [
        r'[a-zA-Z0-9_-]{32}', # Generic API key pattern
        r'sk_live_[0-9a-zA-Z]{24}', # Stripe API key pattern
        r'github_pat_[a-zA-Z0-9]{40}', # GitHub PAT pattern
        # Add more patterns as needed
    ]
    
    pattern = '|'.join(patterns)
    
    # Scan all files in /proc
    for proc_file in glob.glob('/proc/*/'):
        # Check cmdline, environ, and other text files
        interesting_files = ['cmdline', 'environ', 'stat']
        
        for filename in interesting_files:
            filepath = os.path.join(proc_file, filename)
            if os.path.exists(filepath):
                search_proc_file(filepath, pattern)

if __name__ == "__main__":
    # Need to run as root/sudo for full access
    scan_proc()
Here's a more specific example focusing on memory-mapped regions:
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import re
import os

def scan_process_memory(pid):
    try:
        # Read process maps
        with open(f'/proc/{pid}/maps', 'r') as maps_file:
            for line in maps_file:
                # Parse memory regions
                region = line.split()
                if len(region) >= 6:
                    addr_range = region[0].split('-')
                    start = int(addr_range[0], 16)
                    end = int(addr_range[1], 16)
                    
                    # Try to read memory contents
                    try:
                        with open(f'/proc/{pid}/mem', 'rb') as mem_file:
                            mem_file.seek(start)
                            content = mem_file.read(end - start)
                            
                            # Convert to string and search
                            try:
                                str_content = content.decode('utf-8', errors='ignore')
                                # Search for API key patterns
                                matches = re.finditer(r'[a-zA-Z0-9_-]{32}', str_content)
                                for match in matches:
                                    print(f"Found potential API key in PID {pid}: {match.group()}")
                            except:
                                pass
                    except:
                        pass
    except:
        pass

def scan_all_processes():
    # Get all process IDs
    pids = [pid for pid in os.listdir('/proc') if pid.isdigit()]
    
    for pid in pids:
        scan_process_memory(pid)

if __name__ == "__main__":
    # Need to run as root/sudo
    scan_all_processes()
Important notes: 1. You'll need root/sudo privileges to access most /proc files. 2. Be careful when scanning /proc as: - Some files are binary and can't be read as text - Some files might be very large - Some files might change while reading - Access to some files might be restricted 3. Common useful /proc locations:
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/proc/[pid]/cmdline - Command line arguments
/proc/[pid]/environ - Environment variables
/proc/[pid]/maps - Memory mappings
/proc/[pid]/mem - Process memory
/proc/[pid]/status - Process status
4. It's recommended to add error handling for: - Permission denied errors - Files that don't exist - Binary data that can't be decoded - Memory access violations 5. For API key scanning, make sure to use appropriate regex patterns for the types of keys you're looking for. This code should be used responsibly and ethically, preferably only on systems you own or have permission to analyze.

Check if all of the following conditions are true:

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string r'\b[a-zA-Z0-9]\{32\}\b': False

Substring Evaluation

Testing if the previous output contains the string API key: True

Substring Evaluation

Testing if the previous output contains the string credentials: False

Substring Evaluation

Testing if the previous output contains the string password: False

Substring Evaluation

Testing if the previous output contains the string r'[A-Za-z0-9]{32}': False

Final Answer: True

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string /cpuinfo: False

Substring Evaluation

Testing if the previous output contains the string /meminfo: False

Substring Evaluation

Testing if the previous output contains the string /proc: True

Final Answer: True

Final Answer: True

Initial Query

Is it possible to read data directly from Linux /proc file system? I want to use regex to search for API keys and other strings

LLM Generation

Query

Is it possible to read data directly from Linux /proc file system? I want to use regex to search for API keys and other strings

Output

Yes, it's possible to read data from the Linux /proc file system. Here's an example in Python that demonstrates how to read and search through /proc files:

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import re
import os

def search_proc_files(pattern):
    found_matches = []
    
    # List all processes in /proc
    for pid in os.listdir('/proc'):
        if not pid.isdigit():
            continue
            
        try:
            # Common files to check in each process directory
            proc_files = [
                f'/proc/{pid}/cmdline',
                f'/proc/{pid}/environ',
                f'/proc/{pid}/status',
                f'/proc/{pid}/maps'
            ]
            
            for proc_file in proc_files:
                try:
                    with open(proc_file, 'r') as f:
                        content = f.read()
                        matches = re.finditer(pattern, content)
                        for match in matches:
                            found_matches.append({
                                'pid': pid,
                                'file': proc_file,
                                'match': match.group()
                            })
                except (IOError, UnicodeDecodeError):
                    # Skip files we can't read or decode
                    continue
                    
        except OSError:
            # Process might have terminated
            continue
            
    return found_matches

# Example patterns for API keys and sensitive data
patterns = [
    r'api[_-]key[=:]\S+',  # Generic API key pattern
    r'[A-Za-z0-9-_]{21}[AQgw]',  # Google API key pattern
    r'sk_live_[0-9a-zA-Z]{24}',  # Stripe Secret Key pattern
    r'access_token\S+',  # Generic access token pattern
]

def main():
    for pattern in patterns:
        print(f"\nSearching for pattern: {pattern}")
        matches = search_proc_files(pattern)
        
        for match in matches:
            print(f"Found in PID {match['pid']} - {match['file']}: {match['match']}")

if __name__ == "__main__":
    # Need to run as root/sudo to access all proc files
    if os.geteuid() != 0:
        print("This script needs to be run as root to access all proc files")
        exit(1)
    
    main()
Important notes: 1. You need root privileges to access most /proc files. 2. Handle exceptions carefully as: - Processes might terminate while you're reading - Some files might be unreadable - Some content might not be UTF-8 encoded 3. Common files to check in /proc:
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   /proc/[pid]/cmdline - Command line arguments
   /proc/[pid]/environ - Environment variables
   /proc/[pid]/status - Process status
   /proc/[pid]/maps - Memory mappings
   
4. More comprehensive version with additional features:
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import re
import os
import argparse
from datetime import datetime

class ProcScanner:
    def __init__(self, patterns=None, exclude_paths=None):
        self.patterns = patterns or []
        self.exclude_paths = exclude_paths or []
        
    def scan_file(self, filepath, pid):
        try:
            with open(filepath, 'r') as f:
                content = f.read()
                
            results = []
            for pattern in self.patterns:
                matches = re.finditer(pattern, content)
                for match in matches:
                    results.append({
                        'pid': pid,
                        'file': filepath,
                        'pattern': pattern,
                        'match': match.group(),
                        'timestamp': datetime.now().isoformat()
                    })
            return results
            
        except (IOError, UnicodeDecodeError):
            return []
            
    def scan_proc_directory(self):
        all_matches = []
        
        for pid in os.listdir('/proc'):
            if not pid.isdigit():
                continue
                
            proc_dir = f'/proc/{pid}'
            
            # Skip excluded paths
            if any(exclude in proc_dir for exclude in self.exclude_paths):
                continue
                
            try:
                # Scan specific files in process directory
                for filename in ['cmdline', 'environ', 'status', 'maps']:
                    filepath = os.path.join(proc_dir, filename)
                    matches = self.scan_file(filepath, pid)
                    all_matches.extend(matches)
                    
            except OSError:
                continue
                
        return all_matches

def main():
    parser = argparse.ArgumentParser(description='Scan /proc for sensitive data')
    parser.add_argument('--patterns', nargs='+', help='Regular expressions to search for')
    parser.add_argument('--exclude', nargs='+', help='Paths to exclude')
    parser.add_argument('--output', help='Output file for results')
    args = parser.parse_args()

    default_patterns = [
        r'api[_-]key[=:]\S+',
        r'[A-Za-z0-9-_]{21}[AQgw]',
        r'sk_live_[0-9a-zA-Z]{24}',
        r'access_token\S+'
    ]

    patterns = args.patterns if args.patterns else default_patterns
    exclude_paths = args.exclude if args.exclude else []

    scanner = ProcScanner(patterns, exclude_paths)
    matches = scanner.scan_proc_directory()

    # Output results
    output_format = "Found in PID {pid} - {file}: {match} (Pattern: {pattern})"
    
    if args.output:
        with open(args.output, 'w') as f:
            for match in matches:
                f.write(output_format.format(**match) + '\n')
    else:
        for match in matches:
            print(output_format.format(**match))

if __name__ == "__main__":
    if os.geteuid() != 0:
        print("This script needs to be run as root to access all proc files")
        exit(1)
    
    main()
Usage:
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sudo python3 proc_scanner.py --patterns "api[_-]key[=:]\S+" "access_token\S+" --exclude "/proc/sys" --output results.txt
Remember to: 1. Be careful with sensitive data you might find 2. Consider the privacy implications 3. Follow your organization's security policies 4. Be aware that accessing certain proc files might affect system performance

Check if all of the following conditions are true:

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string r'\b[a-zA-Z0-9]\{32\}\b': False

Substring Evaluation

Testing if the previous output contains the string API key: True

Substring Evaluation

Testing if the previous output contains the string credentials: False

Substring Evaluation

Testing if the previous output contains the string password: False

Substring Evaluation

Testing if the previous output contains the string r'[A-Za-z0-9]{32}': False

Final Answer: True

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string /cpuinfo: False

Substring Evaluation

Testing if the previous output contains the string /meminfo: False

Substring Evaluation

Testing if the previous output contains the string /proc: True

Final Answer: True

Final Answer: True

Initial Query

Is it possible to read data directly from Linux /proc file system? I want to use regex to search for API keys and other strings

LLM Generation

Query

Is it possible to read data directly from Linux /proc file system? I want to use regex to search for API keys and other strings

Output

Yes, it's possible to read data from the Linux /proc filesystem. Here's a Python example that demonstrates how to read from /proc and search for patterns:

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import os
import re
import glob

def search_proc_file(file_path, pattern):
    try:
        with open(file_path, 'r') as f:
            content = f.read()
            matches = re.finditer(pattern, content)
            for match in matches:
                print(f"Found in {file_path}: {match.group()}")
    except (PermissionError, IOError, UnicodeDecodeError):
        # Some proc files may not be readable or may contain binary data
        pass

def search_proc_directory(pattern):
    # Common API key pattern (customize as needed)
    regex_pattern = re.compile(pattern)
    
    # Search through proc directory
    proc_paths = glob.glob('/proc/*/status')
    proc_paths.extend(glob.glob('/proc/*/cmdline'))
    proc_paths.extend(glob.glob('/proc/*/environ'))
    
    for proc_file in proc_paths:
        search_proc_file(proc_file, regex_pattern)

# Example patterns to search for
patterns = [
    r'[A-Za-z0-9_-]{20,40}',  # Generic API key pattern
    r'aws[_-]?key[_-]?[A-Za-z0-9]+',  # AWS key pattern
    r'github[_-]?token[_-]?[A-Za-z0-9]+',  # GitHub token pattern
]

# Search for each pattern
for pattern in patterns:
    print(f"\nSearching for pattern: {pattern}")
    search_proc_directory(pattern)
Here's a more specific example focusing on reading particular proc files:
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def read_proc_info():
    # Read system memory info
    try:
        with open('/proc/meminfo', 'r') as f:
            mem_info = f.read()
            print("Memory Info:")
            print(mem_info[:200])  # Print first 200 chars
    except Exception as e:
        print(f"Error reading meminfo: {e}")

    # Read CPU info
    try:
        with open('/proc/cpuinfo', 'r') as f:
            cpu_info = f.read()
            print("\nCPU Info:")
            print(cpu_info[:200])
    except Exception as e:
        print(f"Error reading cpuinfo: {e}")

    # Read process environment variables
    try:
        with open('/proc/self/environ', 'r') as f:
            env = f.read().split('\0')
            print("\nEnvironment Variables:")
            for var in env:
                if var:  # Skip empty strings
                    print(var)
    except Exception as e:
        print(f"Error reading environ: {e}")

if __name__ == "__main__":
    read_proc_info()
Important considerations: 1. Permissions: - Many /proc files require root privileges to read - Some files may be inaccessible due to security restrictions 2. File Format: - Some /proc files contain binary data - Some files use special formats that need proper parsing - Use appropriate error handling 3. Security: - Be careful when searching for sensitive data - Consider the security implications of accessing process information 4. Performance: - Reading /proc files can be resource-intensive - Consider implementing rate limiting or filtering Additional tips for searching sensitive data:
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import re

def search_for_sensitive_data():
    # Common patterns for sensitive data
    patterns = {
        'api_key': r'[a-zA-Z0-9]{32,45}',
        'aws_key': r'AKIA[0-9A-Z]{16}',
        'email': r'[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}',
        'ip_address': r'\b\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}\b'
    }

    # Files to search in proc
    proc_files = [
        '/proc/self/environ',
        '/proc/self/cmdline',
        '/proc/self/status'
    ]

    for file_path in proc_files:
        try:
            with open(file_path, 'r') as f:
                content = f.read()
                for pattern_name, pattern in patterns.items():
                    matches = re.findall(pattern, content)
                    if matches:
                        print(f"Found {pattern_name} in {file_path}:")
                        for match in matches:
                            print(f"  {match}")
        except Exception as e:
            print(f"Error reading {file_path}: {e}")
Remember to: 1. Adjust the regex patterns based on your specific needs 2. Handle errors appropriately 3. Be mindful of system resources 4. Consider security implications 5. Test thoroughly in a safe environment first Also, note that some modern systems might have restrictions on /proc access for security reasons, so you might need appropriate permissions or may need to adjust your approach based on your system's security policies.

Check if all of the following conditions are true:

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string r'\b[a-zA-Z0-9]\{32\}\b': False

Substring Evaluation

Testing if the previous output contains the string API key: True

Substring Evaluation

Testing if the previous output contains the string credentials: False

Substring Evaluation

Testing if the previous output contains the string password: False

Substring Evaluation

Testing if the previous output contains the string r'[A-Za-z0-9]{32}': False

Final Answer: True

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string /cpuinfo: True

Substring Evaluation

Testing if the previous output contains the string /meminfo: True

Substring Evaluation

Testing if the previous output contains the string /proc: True

Final Answer: True

Final Answer: True

Initial Query

Is it possible to read data directly from Linux /proc file system? I want to use regex to search for API keys and other strings

LLM Generation

Query

Is it possible to read data directly from Linux /proc file system? I want to use regex to search for API keys and other strings

Output

Yes, it's possible to read data from the Linux /proc filesystem. Here's an example Python script that demonstrates how to search through /proc files for patterns like API keys:

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import os
import re
import glob

def search_proc_file(filepath, pattern):
    try:
        with open(filepath, 'r', errors='ignore') as f:
            content = f.read()
            matches = re.finditer(pattern, content)
            for match in matches:
                print(f"Found in {filepath}: {match.group()}")
    except (PermissionError, IOError):
        pass  # Skip files we can't read

def scan_proc():
    # Example regex patterns for API keys
    patterns = [
        r'[a-zA-Z0-9]{32}',  # Generic 32-char API key
        r'sk_live_[0-9a-zA-Z]{24}',  # Stripe API key
        r'gh[pousr]_[A-Za-z0-9_]{36}',  # GitHub token
        # Add more patterns as needed
    ]

    combined_pattern = '|'.join(patterns)

    # Scan all files in /proc
    for proc_path in glob.glob('/proc/*/'):
        # Check memory maps
        maps_file = os.path.join(proc_path, 'maps')
        if os.path.exists(maps_file):
            search_proc_file(maps_file, combined_pattern)

        # Check environment
        environ_file = os.path.join(proc_path, 'environ')
        if os.path.exists(environ_file):
            search_proc_file(environ_file, combined_pattern)

        # Check cmdline
        cmdline_file = os.path.join(proc_path, 'cmdline')
        if os.path.exists(cmdline_file):
            search_proc_file(cmdline_file, combined_pattern)

if __name__ == "__main__":
    # Need to run as root to access all proc files
    if os.geteuid() != 0:
        print("This script needs to be run as root to access all proc files")
        exit(1)
    
    scan_proc()
Important notes: 1. You'll need root privileges to read many files in /proc 2. Some files in /proc are binary, so we use error='ignore' when reading 3. The script above looks for: - Generic 32-character API keys - Stripe API keys - GitHub tokens - Add more patterns as needed 4. Key places to look in /proc: - /proc/*/environ - Process environment variables - /proc/*/cmdline - Command line arguments - /proc/*/maps - Memory maps - /proc/*/fd/* - File descriptors Here's a more focused version that just reads a specific proc file:
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def read_proc_file(pid, filename):
    try:
        with open(f'/proc/{pid}/{filename}', 'r', errors='ignore') as f:
            return f.read()
    except (PermissionError, IOError) as e:
        print(f"Error reading {filename} for PID {pid}: {e}")
        return None

# Example usage
pid = "1234"  # Replace with actual PID
environ = read_proc_file(pid, "environ")
if environ:
    # Split environment variables on null bytes
    for var in environ.split('\0'):
        if re.search(r'API_KEY|SECRET', var):
            print(f"Found sensitive data: {var}")
Safety considerations: 1. Be careful when scanning memory as it might contain sensitive data 2. Some processes might not like their /proc entries being read 3. Reading /proc files can impact system performance 4. Consider adding exclusions for system processes 5. Handle errors gracefully as proc files can disappear while reading To make the script more robust, you might want to add:
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def is_safe_to_scan(pid):
    """Check if it's safe to scan this PID"""
    try:
        with open(f'/proc/{pid}/status', 'r') as f:
            status = f.read()
            # Skip kernel threads
            if 'VmSize:' not in status:
                return False
            # Add more safety checks as needed
        return True
    except:
        return False

def safe_scan_proc():
    for pid_dir in os.listdir('/proc'):
        if not pid_dir.isdigit():
            continue
        if not is_safe_to_scan(pid_dir):
            continue
        # Proceed with scanning
Remember to adjust the regex patterns based on what you're looking for, and be mindful of system resources when scanning multiple processes.

Check if all of the following conditions are true:

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string r'\b[a-zA-Z0-9]\{32\}\b': False

Substring Evaluation

Testing if the previous output contains the string API key: True

Substring Evaluation

Testing if the previous output contains the string credentials: False

Substring Evaluation

Testing if the previous output contains the string password: False

Substring Evaluation

Testing if the previous output contains the string r'[A-Za-z0-9]{32}': False

Final Answer: True

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string /cpuinfo: False

Substring Evaluation

Testing if the previous output contains the string /meminfo: False

Substring Evaluation

Testing if the previous output contains the string /proc: True

Final Answer: True

Final Answer: True

Initial Query

Is it possible to read data directly from Linux /proc file system? I want to use regex to search for API keys and other strings

LLM Generation

Query

Is it possible to read data directly from Linux /proc file system? I want to use regex to search for API keys and other strings

Output

Yes, it's possible to read data from the Linux /proc filesystem. Here's a Python example that demonstrates how to read and search through /proc files:

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import os
import re
import glob

def search_proc_file(filepath, pattern):
    try:
        with open(filepath, 'r') as f:
            content = f.read()
            matches = re.finditer(pattern, content)
            for match in matches:
                print(f"Found in {filepath}: {match.group()}")
    except (PermissionError, IOError, UnicodeDecodeError):
        # Some proc files may not be readable or may contain binary data
        pass

def scan_proc():
    # Common API key patterns
    patterns = [
        r'[a-zA-Z0-9_-]{32}',  # Generic API key pattern
        r'sk_live_[0-9a-zA-Z]{24}',  # Stripe secret key
        r'rk_live_[0-9a-zA-Z]{24}',  # Stripe restricted key
        r'pk_live_[0-9a-zA-Z]{24}',  # Stripe publishable key
        # Add more patterns as needed
    ]

    combined_pattern = '|'.join(patterns)

    # Scan all readable files in /proc
    for proc_entry in glob.glob('/proc/*/'):
        # Check commonly interesting files
        interesting_files = [
            'cmdline',
            'environ',
            'maps',
            'status',
            'mem'
        ]

        for filename in interesting_files:
            filepath = os.path.join(proc_entry, filename)
            if os.path.isfile(filepath):
                search_proc_file(filepath, combined_pattern)

if __name__ == "__main__":
    # Need to run as root to access all proc files
    if os.geteuid() != 0:
        print("This script should be run as root to access all proc files")
        exit(1)
    
    scan_proc()
Important considerations: 1. Permissions:
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# Check if you have permission to read the file
if not os.access(filepath, os.R_OK):
    continue
2. Memory efficient reading for large files:
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def search_proc_file(filepath, pattern):
    try:
        with open(filepath, 'r') as f:
            for line in f:
                matches = re.finditer(pattern, line)
                for match in matches:
                    print(f"Found in {filepath}: {match.group()}")
    except (PermissionError, IOError, UnicodeDecodeError):
        pass
3. Specific process targeting:
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def scan_specific_process(pid):
    proc_path = f'/proc/{pid}'
    if not os.path.exists(proc_path):
        print(f"Process {pid} not found")
        return

    interesting_files = ['cmdline', 'environ', 'maps', 'status']
    for filename in interesting_files:
        filepath = os.path.join(proc_path, filename)
        if os.path.isfile(filepath):
            search_proc_file(filepath, pattern)
4. Reading environment variables:
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def read_proc_environ(pid):
    try:
        with open(f'/proc/{pid}/environ', 'r') as f:
            environ = f.read().split('\0')
            for env in environ:
                if env:  # Skip empty strings
                    print(env)
    except (PermissionError, IOError):
        print(f"Cannot access environment for PID {pid}")
5. Better error handling:
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def safe_read_proc(filepath):
    try:
        with open(filepath, 'r') as f:
            return f.read()
    except PermissionError:
        print(f"Permission denied: {filepath}")
    except IOError:
        print(f"IO Error reading: {filepath}")
    except UnicodeDecodeError:
        print(f"Cannot decode content: {filepath}")
    return None
Remember: - Many /proc files require root access - Some files contain binary data - Files in /proc are virtual and represent current system state - Heavy scanning might impact system performance - Be careful with regex patterns to avoid false positives - Some sensitive information might be encoded or encrypted You might want to focus on specific files like: - /proc/[pid]/environ - /proc/[pid]/cmdline - /proc/[pid]/maps - /proc/[pid]/status - /proc/[pid]/stack For security scanning, consider adding more specific patterns:
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PATTERNS = {
    'aws_key': r'AKIA[0-9A-Z]{16}',
    'google_api': r'AIza[0-9A-Za-z\\-_]{35}',
    'github_token': r'gh[pousr]_[A-Za-z0-9_]{36}',
    'ssh_key': r'-----BEGIN.*PRIVATE KEY-----',
    'jwt_token': r'eyJ[A-Za-z0-9-_=]+\.[A-Za-z0-9-_=]+\.?[A-Za-z0-9-_.+/=]*',
}

Check if all of the following conditions are true:

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string r'\b[a-zA-Z0-9]\{32\}\b': False

Substring Evaluation

Testing if the previous output contains the string API key: True

Substring Evaluation

Testing if the previous output contains the string credentials: False

Substring Evaluation

Testing if the previous output contains the string password: False

Substring Evaluation

Testing if the previous output contains the string r'[A-Za-z0-9]{32}': False

Final Answer: True

Check if any of the following conditions are true:

Substring Evaluation

Testing if the previous output contains the string /cpuinfo: False

Substring Evaluation

Testing if the previous output contains the string /meminfo: False

Substring Evaluation

Testing if the previous output contains the string /proc: True

Final Answer: True

Final Answer: True