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What is post-compilation scanning?
Post-compilation scanning is the process of analyzing software artifacts, such as binaries, executables, containers, and libraries, after they’ve been built, to detect vulnerabilities, malicious code, or unauthorized changes that source-level scanning might miss.
Why scan post-compilation?
While source code and dependency scans are essential, attackers often introduce risks during or after the build process. Post-compilation scanning catches:
- Obfuscated malware inserted after the code review stage
- Misconfigurations or embedded secrets in compiled packages
- Threats hidden in third-party components or opaque libraries
It adds an essential layer of verification before software is signed, released, or deployed.
How does it work?
Post-compilation scanning tools examine compiled artifacts using:
-
Static analysis of binary and bytecode structure
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Heuristics and rule-based detection (e.g., YARA rules)
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Entropy and packing analysis to spot obfuscation
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Metadata extraction (e.g., digital signatures, build timestamps, libraries)
- Threat intelligence correlation to flag known indicators of compromise
These tools can be integrated into CI/CD pipelines or run as part of a secure release gate
Benefits
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Detects Supply Chain Threats missed by SAST/SCA tools
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Enhances Product Security Assurance for regulators and customers
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Validates Software Provenance before signing and distribution
- Improves Risk Transparencyfor software buyers and auditors
Post-Compilation scanning vs
|
Topic |
Focus Area |
Difference from Post-Compilation Scanning |
|
SAST |
Source code vulnerability scanning |
Operates on source code, not compiled artifacts |
|
SBOM |
Software component inventory |
May miss embedded threats in binaries unless validated |
|
Artifact Behavioral Analysis |
Dynamic execution of software |
Complements post-compilation with runtime behavior insights |
Post-compilation scanning best practices
- Enforce scanning of all release candidates before signing
- Detect mismatches between declared and actual components in SBOMs
- Block deployments of artifacts flagged with malware or suspicious behaviors
- Use it as a validation step during procurement or vendor onboarding
Use cases
-
Malware Detection in Build Outputs from third-party CI pipelines
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Validating Software from External Vendors before integration
- Securing Open-Source Releasesfor distribution through public repos
Additional considerations
- Should include support for a wide range of file types and architectures
- Must operate at speed and scale for integration into automated pipelines
- Consider combining with runtime analysis and binary SBOM for full coverage
- Valuable even when the source code is not available or trusted