Obfuscation Detection Toolkit
Upload a file or paste code to scan for 17 obfuscation techniques across multiple languages. Detects packing, string encoding, eval usage, control flow flattening, dead code injection, variable renaming, and anti-analysis. Each detection includes confidence scoring, evidence snippets, and actionable recommendations for deobfuscation. All processing is local and private.
Upload a file or paste code to scan for 17 obfuscation techniques across multiple languages. The toolkit detects packing, string encoding, eval usage, control flow flattening, dead code injection, renaming, anti-analysis, and more. Each detected technique includes confidence scoring, evidence snippets, and actionable recommendations. All processing is local and private.
Paste source code or upload a file to scan for obfuscation techniques. The toolkit analyzes your code across 17 detection categories including packing, encoding, control flow flattening, dead code injection, variable renaming, and anti-analysis techniques. Each detection includes confidence scoring and actionable recommendations. All processing is local and private.
Why Use Our Obfuscation Detection Toolkit?
17 Technique Detection Categories
Scan code across 17 comprehensive detection categories including eval detection, Dean Edwards Packer recognition, hex/Unicode/Base64 encoding, array-based string replacement, dead code injection, opaque predicates, control flow flattening, string concatenation, number obfuscation, variable renaming, self-defending/anti-tamper code, domain locking, computed property access, multi-layer encoding, and XOR encryption. Each technique includes detailed matching patterns tailored to multiple programming languages.
Multi-Language & Multi-Format Support
Automatically detect the programming language (JavaScript, Python, PHP, Ruby, Java, C#, PowerShell) and file type (PHP, XML, HTML, JSON, YAML, Terraform) from the code content. Pattern matching adapts to language-specific obfuscation idioms, ensuring accurate detection whether you're analyzing web scripts, compiled language output, or configuration files. All pattern matching is tuned for each language's unique obfuscation patterns.
Confidence Scoring & Severity Classification
Each detection includes a 0-100% confidence score based on evidence density and pattern match quality. Techniques are classified by severity (info, warning, critical) to help prioritize remediation efforts. The overall obfuscation score (0-100) and summary level (None → Extreme) provide an at-a-glance assessment of code protection status, with detailed breakdowns per technique category.
Actionable Evidence & Recommendations
Every detected technique includes matching code evidence snippets showing exactly where obfuscation was found, plus actionable recommendations for deobfuscation. Evidence is extracted from context around pattern matches, showing the surrounding code structure. Recommendations link to specific deobfuscation tools and techniques for each detected pattern, providing a clear remediation path.
Common Use Cases for Obfuscation Detection Toolkit
Malware Analysis & Reverse Engineering
Security analysts scan suspicious JavaScript, VBScript, or PowerShell samples to quickly identify obfuscation techniques. The toolkit reveals encoded payloads, eval-based packers, and anti-analysis measures, helping analysts determine the sophistication level of the malware and choose appropriate deobfuscation strategies. Critical indicators like nested encoding and self-defending code flag the most dangerous samples for priority analysis.
Vulnerability Research & Bug Bounty
Bug bounty hunters analyze third-party scripts and browser extensions for obfuscated code that may hide malicious behavior. The toolkit's comprehensive detection across 17 categories reveals hidden API calls, encoded payloads, and domain-locking mechanisms that indicate backdoor functionality or data exfiltration attempts in otherwise legitimate-looking code.
Code Security Auditing
Security auditors scan application codebases for obfuscation that might indicate supply chain attacks or compromised dependencies. The toolkit provides a baseline obfuscation score and identifies specific techniques used, helping auditors distinguish between legitimate minification and malicious obfuscation. Regular scanning of dependencies reveals when third-party code has been tampered with.
Web Application Firewall (WAF) Evasion Testing
Penetration testers analyze obfuscated attack payloads to understand WAF evasion techniques. The toolkit identifies encoding methods used to bypass security filters, including hex/Unicode escapes, Base64 encoding, and split string concatenation. Understanding these techniques helps security teams strengthen their WAF rules against obfuscated attack vectors.
Academic Research & Obfuscation Studies
Researchers studying obfuscation techniques use the toolkit to classify and document obfuscation methods found in real-world samples. The categorized detection results provide quantitative data on technique prevalence, severity distribution, and obfuscation trends across different programming languages and threat actor groups.
CI/CD Security Pipeline Integration
Development teams integrate the toolkit into their security pipeline to automatically scan pull requests for obfuscated code. Pre-merge detection of obfuscation techniques alerts teams to potentially malicious contributions, encoded secrets, or anti-analysis code being introduced into the codebase. The detailed detection report provides evidence for security reviews.
Understanding Obfuscation Detection & Analysis
What is Code Obfuscation?
Code obfuscation is the deliberate practice of transforming source code or binary code into a form that is functionally identical but difficult for humans to read, understand, or reverse engineer. Obfuscation techniques range from simple variable renaming (changing meaningful names like calculateTotal to a or _0x1234) to complex control flow transformations that restructure the entire program logic. While legitimate uses exist (protecting intellectual property, preventing tampering), obfuscation is also a technique commonly used by malware authors to evade detection by security tools and analysts. The Obfuscation Detection Toolkit identifies 17 distinct obfuscation techniques across eight categories.
How the Detection Engine Works
- Language Detection - The engine first analyzes the code to detect the programming language (JavaScript, Python, PHP, Ruby, Java, C#, PowerShell) and file type (PHP, XML, HTML, JSON, YAML). Language detection enables language-specific pattern matching for more accurate results.
- Pattern-Based Scanning - The code is scanned against 17 technique definitions, each with multiple regex patterns. These patterns are designed to detect specific obfuscation signatures such as eval calls with long arguments, hex/Unicode escape sequences, Base64 API calls, Dean Edwards Packer format, variable renaming patterns, and anti-analysis indicators.
- Contextual Evidence Collection - Beyond simple pattern matching, the engine gathers contextual evidence by examining the code structure around matches. For example, eval detection collects surrounding code lines, hex encoding detection counts total escape density, and variable renaming analysis checks for high-density short variable declarations across the codebase.
- Confidence Scoring & Classification - Each detected technique receives a 0-100% confidence score based on evidence quantity and match quality. Techniques are classified by severity (info, warning, critical) based on their obfuscation impact. The overall score is normalized to 0-100 and mapped to a five-level summary (None, Minimal, Moderate, Heavy, Extreme).
Common Obfuscation Categories
- Packing: Compresses and encodes the entire code payload into a smaller format that is decoded at runtime. The Dean Edwards Packer is the most well-known example. Packed code is typically 30-70% smaller than the original but completely unreadable without unpacking.
- Encoding: Transforms string literals and data into encoded representations (hex, Unicode, Base64, Base85) that are decoded at runtime. Multi-layer encoding applies multiple encoding passes, requiring iterative decoding to reveal the original content.
- Control Flow: Restructures the program flow using techniques like eval-based dynamic execution, opaque predicates (always-true or always-false conditions), and control flow flattening (converting all branches to a switch-based dispatcher).
- String Obfuscation: Hides string literals using array-based replacement (strings stored in lookup arrays accessed by index), split concatenation (strings broken into fragments), and computed property access (bracket notation with encoded keys).
- Anti-Analysis: Detects and responds to debugging tools, code modification, or unexpected execution environments. Includes self-defending code that alters behavior when tampering is detected and domain locking that restricts execution to specific hostnames.
Privacy & Security
This tool runs entirely in your browser using client-side JavaScript. Your code, uploaded files, and scan results are never uploaded to any server, stored in any database, or transmitted over the network. All detection engine computation, pattern matching, confidence scoring, and report generation executes locally on your device. There are no API calls, analytics tracking, cookies, or data collection of any kind. This makes it completely safe for analyzing proprietary code, malware samples, or sensitive security research data.
Frequently Asked Questions About Obfuscation Detection
The Obfuscation Detection Toolkit can detect 17 techniques across 8 categories: packing (Dean Edwards Packer), encoding (hex, Unicode, Base64, XOR, multi-layer/nested), control flow (eval/dynamic execution, opaque predicates, control flow flattening), dead code injection, string obfuscation (array-based replacement, string split/concatenation, computed property access), renaming (variable name minification), anti-analysis (self-defending/anti-tamper code, domain locking/environment checks), and other patterns. Each technique has multiple detection patterns tuned for different programming languages.
The toolkit automatically detects JavaScript, Python, PHP, Ruby, Java, C#, and PowerShell from code content. Language detection enables language-specific pattern matching for more accurate results. The general-purpose detection patterns work across all languages for common obfuscation techniques like eval, hex encoding, and variable renaming. Additional languages can be analyzed using the general patterns even if not explicitly detected.
The overall obfuscation score (0-100) is calculated from the number and severity of detected techniques. Each detected technique contributes points based on its severity: critical techniques contribute up to 30 points, warning techniques up to 15 points, and info techniques up to 5 points, each weighted by confidence. The score is normalized to 0-100 and mapped to a five-level summary: None (0), Minimal (1-19), Moderate (20-44), Heavy (45-69), and Extreme (70+). Multiple critical detections automatically push the score to the Extreme level.
Detection accuracy varies by technique. Simple patterns like eval calls, hex/Unicode escapes, and Base64 API calls have high accuracy with minimal false positives. More complex patterns like opaque predicates and control flow flattening may have occasional false positives in legitimate code that uses similar constructs. Each detection includes a confidence score (0-100%) so you can prioritize high-confidence findings. Always verify detections by reviewing the provided evidence snippets.
Yes, the toolkit supports both pasting code directly and uploading files. Click the "Upload File" button to switch to file mode, then click or drag a file to the upload area. Supported file types include .js, .ts, .py, .php, .rb, .java, .cs, .ps1, .html, .json, .xml, and .txt. The file is read entirely in your browser and never uploaded to any server. For binary files, consider using the Code Entropy Visualizer for entropy-based analysis.
Minification is a lossless transformation that reduces code size by removing whitespace, shortening variable names, and simplifying expressions — but the code structure remains clear. Obfuscation, on the other hand, deliberately makes code harder to understand through encoding, encryption, control flow restructuring, and anti-analysis techniques. The Obfuscation Detection Toolkit focuses on detecting true obfuscation techniques beyond standard minification. Simple minification alone typically scores 0-5 on the obfuscation scale.
Confidence scores (0-100%) represent how certain the engine is that the technique is genuinely present. Scores above 80% indicate strong, unambiguous matches. Scores between 50-80% indicate moderate evidence with potential for false positives. Scores below 50% indicate weak evidence that may require manual verification. The confidence score increases with the number of evidence matches found. For critical severity techniques, even moderate confidence deserves investigation.
Absolutely. The Obfuscation Detection Toolkit runs entirely in your browser using client-side JavaScript. Your code, uploaded files, and scan results are never uploaded to any server, stored in any database, or transmitted over the network. All detection engine computation, pattern matching, confidence scoring, and report generation executes locally on your device. There are no API calls, analytics tracking, cookies, or data collection of any kind.
Yes - 100% free with no signup, no account, and no usage limits. Scan as many code samples as you need, as many times as you want. There are no premium tiers, hidden charges, or rate limits. The tool runs entirely in your browser - your data never leaves your device.