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World desk5 min

The Ghost in the Machine: Reverse Engineering Firmware in Legacy Infrastructure

A safe workflow for examining legacy industrial firmware: identify structure, extract what is recognizable, investigate behavior in isolation and translate findings into defensive maintenance without risking production equipment.

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Unknown industrial firmware can often be identified, unpacked and inspected without connecting to the controller it came from—but extraction is only the beginning. It does not, by itself, explain runtime behavior, prove that a discovered weakness is exploitable, establish compatibility with another device, or make a modified image safe to deploy. The sound approach is to work from an authorized image in an isolated environment, document what the evidence can support, and turn findings into carefully managed defensive maintenance.

What firmware reverse engineering can—and cannot—tell you

Firmware analysis examines the code and data that operate a device. In legacy industrial infrastructure, that may mean identifying the layout of an image, extracting a filesystem, and inspecting scripts, configuration and executable files. It can support authorized maintenance, incident response and defensive security.

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The limits matter as much as the findings. A signature scan reports patterns that a tool recognizes; extracted files show what is present in the image. Neither establishes the full behavior of a running controller. Runtime behavior may depend on hardware, configuration, external inputs, vendor-specific components or conditions that static files do not expose. A file that looks concerning is a lead to validate, not proof that a device is vulnerable or compromised.

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There is no universal legacy-controller format or analysis path. Packaging, processor architecture, boot chain, filesystem and vendor toolchain vary by device and revision. An image extension alone is not a reliable guide to its contents.

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Start with authorization, provenance and a safe scope

Work only with firmware you are authorized to examine. Do not connect an unknown or modified image to a production controller as a way to find out what it does. The sources for this workflow address analysis of a binary once it is available; they do not establish one universal method for acquiring firmware from every industrial device.

Before analysis, record the device make and model, hardware revision, firmware version if known, acquisition source and date. Preserve the original image, calculate a cryptographic hash, and conduct analysis on a working copy. If the work may support an incident investigation, maintain chain-of-custody records and document each handling or transformation of the evidence.

Identify the image structure before extracting it

Use a signature and offset scan to look for recognizable components such as bootloader headers, kernels, filesystems, archives, executable formats and compressed data. Binwalk’s documentation describes identifying embedded signatures and their offsets, inspecting entropy and extracting recognized content. It lists common formats including SquashFS, JFFS2, UBI, gzip, LZMA, XZ and zstd; those are examples of formats its tooling may recognize, not a guarantee that a particular image uses them. See Binwalk documentation.

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Keep the image’s layout in view. A scan result is a clue about a region, not a complete explanation of how the device boots or how components interact. Record offsets and the tool’s reported signature, then verify extracted results rather than assuming every match marks a valid, independent component.

Read entropy as a clue, not a verdict

Entropy analysis can help decide what to inspect next. The INCIBE-CERT guide explains that high entropy may be consistent with encryption or compression, while lower entropy can suggest data is not encrypted. But entropy alone cannot tell those possibilities apart, prove that a region is harmless, or establish that a whole image is encrypted. A threshold used in one analysis method is not a universal test for all firmware.

When a region is opaque, treat its entropy as one observation alongside signatures, offsets and other structural evidence. Avoid concluding that the image is encrypted—or that it is safe to ignore—on entropy alone.

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Extract recognized filesystems, and account for misses

The INCIBE-CERT guide identifies possible embedded filesystem types including SquashFS, UBIFS, ROMFS, JFFS2, YAFFS2, CramFS and initramfs. A tool may fail to identify a filesystem because its signature is absent from the tool’s database. In that case, an analyst may need to establish the region’s offset, carve it from the image and use an extractor suited to that filesystem. See INCIBE-CERT’s Study of firmware analysis of industrial devices (2023, version 1.1).

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Not finding a filesystem does not mean there is no meaningful code to examine. The image may contain bare-metal code, use an RTOS with a custom filesystem, or include encrypted content. Those cases may need different tools or specialist knowledge; a filesystem extractor cannot reveal files that are not stored in a format it understands.

Inspect contents, then test behavior only in isolation

For extracted contents, examine directory structure, scripts, configuration, executable files, architecture, libraries, certificates and version strings. Establish which files belong together and whether the identified architecture and software components make sense for the target. Treat embedded secrets, outdated libraries or suspicious code as findings that require context and validation—not automatic evidence of exploitable behavior.

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Static examination cannot answer every question about what the controller does at runtime. When behavioral testing is needed, prefer emulation or a controlled, isolated lab environment where feasible. INCIBE-CERT recommends careful analysis in a secure environment to avoid adverse effects on the real device, and highlights dynamic emulation as a way to investigate behavior without running the analysis on the production hardware. Emulation may not reproduce every hardware-dependent behavior, so record what it does and does not model.

PLC binaries add another obstacle: vendor-specific formats and proprietary compilers can make programs difficult to interpret or automate. The authors of ICSREF describe those barriers and demonstrate their framework on CODESYS binaries. They also discuss the dual-use nature of automated reverse engineering: it can aid forensics and defense, while the same understanding can be misused. See ICSREF: A Framework for Automated Reverse Engineering of Industrial Control Systems Binaries (NDSS 2019). A result from a framework demonstrated on CODESYS binaries should not be assumed to generalize to every PLC vendor or format.

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Turn findings into maintenance and recovery controls

Use analysis to inform authorized change management, not to bypass it. A suspected weakness or unexpected file should lead to validation against the device, approved vendor information and the site’s configuration records before a maintenance decision is made. Do not assume that a firmware image from one model or hardware revision is compatible with another, or that a modified image is safe to install.

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For industrial control systems, integrity measures must fit operational constraints. NIST’s SP 1800-10 provides example integrity solutions for manufacturing ICS; it is a practice guide, not a universal prescription. Its companion discussion notes that legacy technologies, connectivity, remote access, flat networks and limited security capabilities can affect exposure, and cautions that traditional IT controls may affect OT performance. See NCCoE, NIST SP 1800-10 Volume B and NIST SP 1800-10.

Consider controls such as file-integrity monitoring, allowlisting, anomaly detection and access control in light of availability and safety requirements. Plan how to verify authorized changes and restore a known-good state before a failure occurs. NIST SP 800-193 frames platform firmware resiliency around protection against unauthorized changes, detection of changes and secure recovery. It warns: “A successful attack on platform firmware could render a system inoperable, perhaps permanently, or requiring reprogramming by the original manufacturer, resulting in significant disruptions to users.” See NIST SP 800-193, Platform Firmware Resiliency Guidelines (Andrew R. Regenscheid, May 4, 2018).

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