INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/19/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
A Measurement Study of Cryptographic Misuse in Embodied AI Mobile Applications arXiv:2606.19983v1 Announce Type: new Abstract: Embodied AI (EAI) mobile applications are evolving from auxiliary user interfaces into active control-path components, directly linking mobile-side cryptographic security to cyber-physical trust. Despite this shift, existing security research predominantly focuses on embodied AI devices and cloud infrastructures, leaving the mobile control layer larg…
https://arxiv.org/abs/2606.19983
sha256:a82e35d5eadc5925e22e47d4e37b4441f66b3f8ece8188a9dffa846614c2e382
What we pulled out
Deterministic extractor (IOC + allowlisted tokens + ATT&CK IDs present in DB).
Indicators
Linked with report → mentions → indicator. Values open the indicator workspace.
No indicators linked for this report.
Malware families
Allowlist token matches only.
Threat actors mentioned
Allowlist mentions — not a formal attribution verdict.
ATT&CK techniques
MITRE IDs referenced in text and present in local technique table.
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