{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZCHCFARQMNQGU4XCGTJDEKOCJI","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4d21bafafeafd550a52b7a72abbc8255b923f9e08a6fa2a878bbec63cf7a0375","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-10-10T18:49:20Z","title_canon_sha256":"caef4111749c65b5d3cade38310a8cd419c16accebc721b2bac220264a897e6d"},"schema_version":"1.0","source":{"id":"2310.06936","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.06936","created_at":"2026-07-05T06:59:38Z"},{"alias_kind":"arxiv_version","alias_value":"2310.06936v1","created_at":"2026-07-05T06:59:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.06936","created_at":"2026-07-05T06:59:38Z"},{"alias_kind":"pith_short_12","alias_value":"ZCHCFARQMNQG","created_at":"2026-07-05T06:59:38Z"},{"alias_kind":"pith_short_16","alias_value":"ZCHCFARQMNQGU4XC","created_at":"2026-07-05T06:59:38Z"},{"alias_kind":"pith_short_8","alias_value":"ZCHCFARQ","created_at":"2026-07-05T06:59:38Z"}],"graph_snapshots":[{"event_id":"sha256:0ff6940954d98a903ed681f749a17bd605c060fe1d24defd3f2313392520f39f","target":"graph","created_at":"2026-07-05T06:59:38Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2310.06936/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we explore the potential of Large Language Models (LLMs) to reason about threats, generate information about tools, and automate cyber campaigns. We begin with a manual exploration of LLMs in supporting specific threat-related actions and decisions. We proceed by automating the decision process in a cyber campaign. We present prompt engineering approaches for a plan-act-report loop for one action of a threat campaign and and a prompt chaining design that directs the sequential decision process of a multi-action campaign. We assess the extent of LLM's cyber-specific knowledge w.r","authors_text":"Erik Hemberg, Sam Laney, Stephen Moskal, Una-May O'Reilly","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-10-10T18:49:20Z","title":"LLMs Killed the Script Kiddie: How Agents Supported by Large Language Models Change the Landscape of Network Threat Testing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.06936","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:903a66f659d109e309b38cf95f61328d178a4c1d2fb19b6b0619746baf4b607d","target":"record","created_at":"2026-07-05T06:59:38Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4d21bafafeafd550a52b7a72abbc8255b923f9e08a6fa2a878bbec63cf7a0375","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-10-10T18:49:20Z","title_canon_sha256":"caef4111749c65b5d3cade38310a8cd419c16accebc721b2bac220264a897e6d"},"schema_version":"1.0","source":{"id":"2310.06936","kind":"arxiv","version":1}},"canonical_sha256":"c88e22823063606a72e234d23229c24a00c26211b4a091397906748f92b53255","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c88e22823063606a72e234d23229c24a00c26211b4a091397906748f92b53255","first_computed_at":"2026-07-05T06:59:38.277838Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:59:38.277838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O5CTo8eU7HyINLzl/5cyEFLeLSyDUyPp5cttWLITddcliq1987c7xLgkHb7LMMkillqFsZ4DZQM/e7NnyatkDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:59:38.278278Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.06936","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:903a66f659d109e309b38cf95f61328d178a4c1d2fb19b6b0619746baf4b607d","sha256:0ff6940954d98a903ed681f749a17bd605c060fe1d24defd3f2313392520f39f"],"state_sha256":"824148628e5d3c81384238feeedeef5dcfc31c8c8b1c97b220c4e9b2b080c7c8"}