INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 5/15/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Memory Forensics Techniques for Automated Detection and Analysis of Go Malware arXiv:2605.14020v1 Announce Type: new Abstract: The Go programming language has become increasingly popular among malware developers due to its ability to produce statically linked, cross-platform executables that challenge traditional analysis techniques. These binaries embed a substantial runtime and compiler-generated metadata and are compiled with aggressive optimizations that discard type inf…
https://arxiv.org/abs/2605.14020
sha256:f5f54d73d84a4abf67ad5bc65fe5a5086c6de761048932ef66b4061d33998a5f
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.
CONTINUE INVESTIGATION
High-signal pivots without leaving the thread you started in search.
Browse the report corpus.