INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 7/3/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Hamm-Grams: An Algorithm for Mining Regular Expressions of Bytes arXiv:2607.01445v1 Announce Type: new Abstract: Malware poses a critical and ever-evolving threat, and robust and effective systems for detecting and classifying malware are of essential importance. $n$-grams features are among the common static features used in effective machine learning systems for malware, but these features are inherently brittle. We propose an algorithm for constructing more robust feature…
https://arxiv.org/abs/2607.01445
sha256:d329e9aff0f08fe916f631003fc51d42ef210ca7ad11db5e736554e2b0514b5f
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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