In 2026, malware developers are becoming interested in Zig due to its use as a modern day replacement for C as a systems programming language. Whereas legitimate developers find Zig's ease of use, performance and compatibility with C attractive, malware developers can take advantage of Zig in that it allows them to easily evade detection, have lower detection rates and create stealthy binaries or payloads rapidly.
Though many malware developers have migrated to using Rust (because of its safety and cross-platform capabilities), Zig gives its developers low-level access without having to deal with large amounts of associated abstraction or running time guarantees. This makes it easier for malware developers to build small, evasive malware that can also evade traditional antivirus, endpoint detection and response (EDR), and extended detection and response (XDR) solutions.
Key Reasons Malware Developers Prefer Zig
1. Compact, Concise Binaries and Low Heuristic Footprint Zig's binaries are very compact (small executable size) and have a low overhead during runtime. Unlike C++ or even some Rust binaries, Zig code lacks the bloated patterns that signature-based and AI-driven detectors are trained on. This reduces the chance of triggering behavioral heuristics in modern security tools.
2. Zig’s Compile-Time capabilities enable advanced functionality. By associating obfuscation, encryption, or payload generation to compile time rather than runtime, the binary is generated as only machine code which reduces the ability to perform a static analysis of the binary file. This allows a person (i.e. an attacker) to be able to quickly produce a wide range of mutated variants from the original binary and provides an efficient “mutation engine” when utilizing AI based tools.
3. Seamless C interoperability and Cross compiling: Zig comes with C and C++ built-in compilers and offers seamless interoperability with either language. This allows the authors of Malware to utilize previously written techniques easily in C; inject shellcode; or provide a single codebase that targets multiple platforms (Windows, Linux, Apple) with little or no change to the code itself.
4. Developers are provided with manual memory control without the friction associated with Rust's Borrow checker. Developers using Zig are also able to have more granular control as compared to C but with better error handling and safety checking when they are desired. This enhanced control will allow developers to develop disposable malware (malware that only needs to run once) faster, as opposed to creating an unsafe block of Rust code to work around the Rust Safety rules.
5. Evasion Benefits to Modern Defenses Example: Zig contains offensive toolkits (e.g., Zig Strike, released in 2025–2026) that allow users to create payloads designed specifically to evade Microsoft Defender for Endpoint (MDEF), Antivirus (AV) software, and Endpoint Detection & Response (EDR) products. For example, compiling code using compile-time obfuscation; performing anti-sandbox checks; and injecting (through threads, mapping, etc.) are just a few ways of employing these tools.
6. Fast Compilation & Iteration: The process of compiling with Zig occurs at a very rapid pace, allowing developers of malware to create a number of variations of their malware (testing, mutating, and redeploying) within seconds. This makes it easy for them to avoid being detected by signature updates or other new and/or frequent changes to defense mechanisms.
7. Lower Visibility in Security Research Most detection engines and reverse-engineering tools are heavily tuned for C, C++, Rust, Go, and .NET. Zig is still relatively niche in legitimate software, so signatures and behavioral models lag behind. This “security audit gap” gives attackers a temporary advantage.
Real-World Examples and Trends
1. Zig Strike Offensive Toolkit : The offensive (possibly evil) tool that they have created to aid red teams was created with Zig. Therefore, it is able to generate DLLs, shellcode, and even Excel Add-ins that are evasive to EDR/XDR stacks and, in most cases, Microsoft's own defender.
2. Glassworm Campaign : This group of attackers used native Zig code in a `fake` VSCode extension to gain full access to the OS and deploy RATs while bypassing the sandbox restrictions.
3. Research Results : There have been studies comparing the malware written in different programming languages and have found that Zig binaries tend to score lower on the VirusTotal detection site; furthermore, because of the compile-time transformations and the unique way they lay out their binaries in memory, Zig binaries tend to be more difficult to reverse-engineer.
Malware authors are attempting to combine Zig with AI-based code generation to rapidly build prototypes of loaders, stealers, and ransomware components.
Why This Trend Matters for Defenders
The emergence of ZIG represents a new stage in the escalating race to secure both supply chains and endpoint security.
The existing tools used to identify attacks (C/C++-based detection) against traditional systems were never intended to address ZIG-based attacks; therefore, companies will need to perform the following:
1. Revise EDR/XDR rules to detect unusual compile artifacts (e.g., objects, ELF files, etc.) or small binary files with suspicious network or file activity.
2. Augment existing supply chain scans to include ZIG packages and build artifacts within supply chain (software development manufacturing) processes.
3. Train reverse engineers on how to disassemble ZIG binaries as well as perform compile-time analysis for countdown attacks.
4. Monitor for new offensive weapons such as ZIG Strike, so that your organization will be aware of any indicators of compromise related to them.
For organizations focused solely on web application and data privacy, this serves as a reminder that they require layering of security controls rather than relying solely on language-specific signatures to protect themselves from potential attacks.
Key Takeaways
1. Utilizing Zig helps malware authors create smaller binary files, uses advanced compile-time obfuscation methods, allows malware to be built more quickly by rapid prototyping, and has lower detection rates compared to other commonly used malware programming languages such as C/C++.
2. Malware authors will find ZIG easier to use than Rust because it uses similar syntax and semantics to C, so they'll have an easier time writing complex evasion techniques.
3. The adoption of offensive weapon-based tools and techniques has exploded (e.g., ZIG Strike, Glassworm) in 2025-2026 for use by attackers.
4. The (relatively) new nature of the ZIG programming language results in miss-detected programs made using that programming language, creating a gap in detection that needs to be closed.
Zig’s strengths for performance-critical, low-level work make it attractive on both sides of the security fence. Staying aware of emerging languages like Zig is now part of effective threat intelligence and cyber security services strategies.
