{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OAV25H67ZVJEXFSGE3ZHXKZUDN","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":"5d9bae8c55d3a711f0fe14ac3d51eaf6f389bdcd5ee8d336526edf4ead7d058c","cross_cats_sorted":["cs.AI","cs.NI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-11-26T15:55:15Z","title_canon_sha256":"9bae2f781622463d7e1a684777e0006519c2a4cc92fbe4b1dc25a0c519aa06ee"},"schema_version":"1.0","source":{"id":"2411.17539","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.17539","created_at":"2026-07-05T09:40:48Z"},{"alias_kind":"arxiv_version","alias_value":"2411.17539v1","created_at":"2026-07-05T09:40:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.17539","created_at":"2026-07-05T09:40:48Z"},{"alias_kind":"pith_short_12","alias_value":"OAV25H67ZVJE","created_at":"2026-07-05T09:40:48Z"},{"alias_kind":"pith_short_16","alias_value":"OAV25H67ZVJEXFSG","created_at":"2026-07-05T09:40:48Z"},{"alias_kind":"pith_short_8","alias_value":"OAV25H67","created_at":"2026-07-05T09:40:48Z"}],"graph_snapshots":[{"event_id":"sha256:aa0f7ed168e5e1a28c801ad2492f785e2efcf5ab7d1af6441aad12dfd9119980","target":"graph","created_at":"2026-07-05T09:40:48Z","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/2411.17539/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study explores the application of generative AI (GenAI) within manual exploitation and privilege escalation tasks in Linux-based penetration testing environments, two areas critical to comprehensive cybersecurity assessments. Building on previous research into the role of GenAI in the ethical hacking lifecycle, this paper presents a hands-on experimental analysis conducted in a controlled virtual setup to evaluate the utility of GenAI in supporting these crucial, often manual, tasks. Our findings demonstrate that GenAI can streamline processes, such as identifying potential attack vectors","authors_text":"Chris J. Mitchell, Haitham S. Al-Sinani","cross_cats":["cs.AI","cs.NI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-11-26T15:55:15Z","title":"AI-Augmented Ethical Hacking: A Practical Examination of Manual Exploitation and Privilege Escalation in Linux Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.17539","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":"sha256:73590ad4571a3c4e60444df5cb41b83cc721c83d7ffc216b91926462a99a9c20","target":"record","created_at":"2026-07-05T09:40:48Z","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":"5d9bae8c55d3a711f0fe14ac3d51eaf6f389bdcd5ee8d336526edf4ead7d058c","cross_cats_sorted":["cs.AI","cs.NI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-11-26T15:55:15Z","title_canon_sha256":"9bae2f781622463d7e1a684777e0006519c2a4cc92fbe4b1dc25a0c519aa06ee"},"schema_version":"1.0","source":{"id":"2411.17539","kind":"arxiv","version":1}},"canonical_sha256":"702bae9fdfcd524b964626f27bab341b6607b3317274fb2a88df93c6a27ee535","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"702bae9fdfcd524b964626f27bab341b6607b3317274fb2a88df93c6a27ee535","first_computed_at":"2026-07-05T09:40:48.676886Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:48.676886Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"q9dn2GVQ/xCXSiNfBC3ZuDrpJAE9aU9uUeyS9DPtVNQSAJvBFy6nbCGF93mL2NkDv7RC/N3EidzyGbA6U6M9DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:48.677350Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.17539","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:73590ad4571a3c4e60444df5cb41b83cc721c83d7ffc216b91926462a99a9c20","sha256:aa0f7ed168e5e1a28c801ad2492f785e2efcf5ab7d1af6441aad12dfd9119980"],"state_sha256":"5c898633215fd1d0db3446e34b48018aa1f04bf29c82f44ad32c10efa66c9729"}