Hidden Ciphers and Where to Find Them: Static Discovery and Assessment of Cryptographic Assets in Software
arXiv SecurityArchived Aug 06, 2026✓ Full text saved
arXiv:2608.04857v1 Announce Type: new Abstract: Modern software systems rely on cryptography for data protection, authentication, and trust establishment, yet organizations often lack a structured view of the cryptography deployed across source code, configuration, dependencies, and cryptographic files. This lack of visibility complicates security governance and post-quantum migration planning. This paper presents a static approach for discovering and assessing cryptographic assets in software s
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Computer Science > Cryptography and Security
[Submitted on 5 Aug 2026]
Hidden Ciphers and Where to Find Them: Static Discovery and Assessment of Cryptographic Assets in Software
Christian Näther, Eduard Hirsch
Modern software systems rely on cryptography for data protection, authentication, and trust establishment, yet organizations often lack a structured view of the cryptography deployed across source code, configuration, dependencies, and cryptographic files. This lack of visibility complicates security governance and post-quantum migration planning. This paper presents a static approach for discovering and assessing cryptographic assets in software systems. We introduce a classification of Crypto-Material, Crypto-Artifacts, and Crypto-Invocations, derive an extensible scanner-independent rule repository from it, and implement a static scanner that applies these rules to produce CBOM-oriented output. We evaluate the approach on a synthetic benchmark with known ground truth and on a real-world infrastructure of ten deployed services. The scanner achieves an F1 score of 0.75 for asset discovery and correctly annotates 91% of expected weaknesses and vulnerabilities. In the realworld setting, it processes 57 610 files in under six minutes and discovers 370 cryptographic assets, including six CVE-linked vulnerabilities and 52 post-quantum migration candidates. Real-world coverage is assessed against a manually compiled reference list rather than an exhaustive one. These results show that classification-driven static discovery can provide practical cryptographic transparency for governance and post-quantum migration planning.
Comments: 22 pages, 8 figures, 5 tables, accepted at ICICS 2026
Subjects: Cryptography and Security (cs.CR); Software Engineering (cs.SE)
Cite as: arXiv:2608.04857 [cs.CR]
(or arXiv:2608.04857v1 [cs.CR] for this version)
https://doi.org/10.48550/arXiv.2608.04857
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From: Christian Näther [view email]
[v1] Wed, 5 Aug 2026 13:50:44 UTC (147 KB)
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