Extract readable strings from binary files for malware analysis and forensics. Find embedded text, URLs, and paths.
String extraction scans binary files to find and display sequences of printable characters — revealing embedded text such as URLs, file paths, error messages, registry keys, API endpoints, encryption keys, passwords, and other human-readable data hidden within compiled executables, firmware images, and binary data files.
The Unix strings command and this tool perform the same function: they identify contiguous runs of printable ASCII or Unicode characters above a minimum length threshold (typically 4+ characters). This simple technique is one of the first steps in malware analysis, reverse engineering, and digital forensics because it quickly reveals what a binary "knows about" without executing it.
| String Type | Example | Intelligence Value |
|---|---|---|
| URLs | http://c2-server.evil.com/beacon | Command and control infrastructure |
| File paths | C:\Users\dev\malware\builder.py | Development environment details |
| Registry keys | HKLM\Software\Microsoft\Windows\CurrentVersion\Run | Persistence mechanisms |
| Error messages | "Failed to connect to port 443" | Functionality clues |
| IP addresses | 192.168.1.100 | Network targets or C2 servers |
| API function names | CreateRemoteThread, VirtualAllocEx | Suspicious API usage patterns |
| Encryption keys | Base64-encoded strings, hex sequences | Embedded secrets |
| Debug symbols | Function names, source file paths | Attribution and development info |
String extraction is the process of finding human-readable text sequences within binary files such as executables, firmware, or memory dumps. It is commonly used in malware analysis to find embedded URLs, file paths, error messages, and other indicators. Security researchers and forensic analysts use it to understand what a program does.
The tool extracts both ASCII and Unicode (UTF-16LE) strings from binary files. ASCII strings are single-byte character sequences, while Unicode strings use two bytes per character and are common in Windows executables. Both types are analyzed separately and can be filtered in the results.
The tool identifies strings matching patterns like IP addresses (IPv4 and IPv6), URLs, email addresses, file paths (Windows and UNC), registry keys, and Base64 encoded data. These patterns often indicate network communication, file operations, or obfuscated data that may be relevant during security analysis.
The minimum string length filter controls how short a sequence of printable characters must be to be included in the results. A length of 4 is the default, filtering out random byte sequences that happen to be printable. Increase it to reduce noise or decrease it to find shorter strings that might be meaningful.
Yes, all file processing happens entirely in your browser using JavaScript. Your binary files are never uploaded to any server. The tool reads the file locally using the FileReader API and processes it client-side. This makes it safe to analyze sensitive or proprietary files without privacy concerns.
Results can be exported in CSV or JSON format. The CSV export is useful for importing into spreadsheets or other analysis tools. The JSON export includes full metadata and is suitable for programmatic processing. Both formats include the offset, length, type, string value, and any detected patterns.
The offset shows the byte position within the file where each string begins, displayed in hexadecimal format. This information is useful when using a hex editor or debugger to locate the exact position of a string in the original binary file for further analysis.