MOLOT System Card: Malicious Operational Logic Observation Transformer
arXiv SecurityArchived Jun 09, 2026✓ Full text saved
arXiv:2606.07792v1 Announce Type: new Abstract: MOLOT (Malicious Operational Logic Observation Transformer) is a static malicious-code detection system designed for SAST setup where package metadata, maintainer history, and dynamic execution traces may be unavailable or unreliable. The system represents source code as behavior sequences derived from static call graphs, includes an explanation stage that ranks suspicious behavior activities and maps them back to source-code locations. The approac
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✦ AI Summary· Claude Sonnet
Computer Science > Cryptography and Security
[Submitted on 5 Jun 2026]
MOLOT System Card: Malicious Operational Logic Observation Transformer
Daniil Lopatkin, Maksim Mitrofanov, Stanislav Rakovsky, Aleksandr Khalikov
MOLOT (Malicious Operational Logic Observation Transformer) is a static malicious-code detection system designed for SAST setup where package metadata, maintainer history, and dynamic execution traces may be unavailable or unreliable. The system represents source code as behavior sequences derived from static call graphs, includes an explanation stage that ranks suspicious behavior activities and maps them back to source-code locations. The approach is evaluated on Python and JavaScript packages from PyPI and npm, compared with opensource detection tools, and validated under product constraints including runtime, memory use, and false-positive rates observed in a real moderation workflow. We also release Open Malicious-Code Bench, a public benchmark for reproducible evaluation of malicious-package detection methods. The results show that static behavior-sequence modeling can provide accurate, explainable, and deployable malicious-code detection for modern DevSecOps workflows.
Comments: 13 pages, 3 figures
Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG); Software Engineering (cs.SE)
ACM classes: K.6.5; D.4.6; I.2.6; I.5.2
Cite as: arXiv:2606.07792 [cs.CR]
(or arXiv:2606.07792v1 [cs.CR] for this version)
https://doi.org/10.48550/arXiv.2606.07792
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Submission history
From: Maksim Mitrofanov [view email]
[v1] Fri, 5 Jun 2026 19:10:31 UTC (221 KB)
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