{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:SPZZL7FFW7XCVJFOFBPVL5AT5Q","short_pith_number":"pith:SPZZL7FF","canonical_record":{"source":{"id":"2409.07587","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-09-11T19:33:44Z","cross_cats_sorted":[],"title_canon_sha256":"684df777208f9888bb6ee6ae9fb6a27a1832128c4d6020a163812c74c1189b28","abstract_canon_sha256":"0a781351ba1a3efe8a404ea06f704edcf3299fad12af5affd8a2b268747860b9"},"schema_version":"1.0"},"canonical_sha256":"93f395fca5b7ee2aa4ae285f55f413ec3c1444d0bee52c13f15a30fa82a560c4","source":{"kind":"arxiv","id":"2409.07587","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.07587","created_at":"2026-07-05T09:06:12Z"},{"alias_kind":"arxiv_version","alias_value":"2409.07587v1","created_at":"2026-07-05T09:06:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.07587","created_at":"2026-07-05T09:06:12Z"},{"alias_kind":"pith_short_12","alias_value":"SPZZL7FFW7XC","created_at":"2026-07-05T09:06:12Z"},{"alias_kind":"pith_short_16","alias_value":"SPZZL7FFW7XCVJFO","created_at":"2026-07-05T09:06:12Z"},{"alias_kind":"pith_short_8","alias_value":"SPZZL7FF","created_at":"2026-07-05T09:06:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:SPZZL7FFW7XCVJFOFBPVL5AT5Q","target":"record","payload":{"canonical_record":{"source":{"id":"2409.07587","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-09-11T19:33:44Z","cross_cats_sorted":[],"title_canon_sha256":"684df777208f9888bb6ee6ae9fb6a27a1832128c4d6020a163812c74c1189b28","abstract_canon_sha256":"0a781351ba1a3efe8a404ea06f704edcf3299fad12af5affd8a2b268747860b9"},"schema_version":"1.0"},"canonical_sha256":"93f395fca5b7ee2aa4ae285f55f413ec3c1444d0bee52c13f15a30fa82a560c4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:06:12.095071Z","signature_b64":"BTnAAMNXIaGONcZyIWrYJlwlYgcdNmJnfv8hnqCXI6hqQ27ovlbf1cfBHna6EwygHMT/aLYKm2CaHabLaNb0Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"93f395fca5b7ee2aa4ae285f55f413ec3c1444d0bee52c13f15a30fa82a560c4","last_reissued_at":"2026-07-05T09:06:12.094672Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:06:12.094672Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.07587","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:06:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+b530eLJfamdQP0SlU7ngN7WWhXNTfhty79M2vr7I1d56BfTh+TM/VVzk1SqhTEJXLihRO+6SSNuWawrByxdDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:11:41.902648Z"},"content_sha256":"8fe520e68a84c20327d0435d3390831c61950aa4d9c71be8e4f6614bd0859f82","schema_version":"1.0","event_id":"sha256:8fe520e68a84c20327d0435d3390831c61950aa4d9c71be8e4f6614bd0859f82"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:SPZZL7FFW7XCVJFOFBPVL5AT5Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring LLMs for Malware Detection: Review, Framework Design, and Countermeasure Approaches","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Jamal Al-Karaki, Marwan Omar, Muhammad Al-Zafar Khan","submitted_at":"2024-09-11T19:33:44Z","abstract_excerpt":"The rising use of Large Language Models (LLMs) to create and disseminate malware poses a significant cybersecurity challenge due to their ability to generate and distribute attacks with ease. A single prompt can initiate a wide array of malicious activities. This paper addresses this critical issue through a multifaceted approach. First, we provide a comprehensive overview of LLMs and their role in malware detection from diverse sources. We examine five specific applications of LLMs: Malware honeypots, identification of text-based threats, code analysis for detecting malicious intent, trend an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.07587","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2409.07587/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:06:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FVrQMtdRp5uBJUtcpup7AMZ4blf7dR6qix6UO08wC+XgHJztn2jIKtJqmSC2NP2M5Zt8PIu7eUk1d0sIaY1dDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:11:41.903188Z"},"content_sha256":"b6a02554a49141fa66ce5abd734535761f764103183b8480084275b285897886","schema_version":"1.0","event_id":"sha256:b6a02554a49141fa66ce5abd734535761f764103183b8480084275b285897886"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SPZZL7FFW7XCVJFOFBPVL5AT5Q/bundle.json","state_url":"https://pith.science/pith/SPZZL7FFW7XCVJFOFBPVL5AT5Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SPZZL7FFW7XCVJFOFBPVL5AT5Q/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T13:11:41Z","links":{"resolver":"https://pith.science/pith/SPZZL7FFW7XCVJFOFBPVL5AT5Q","bundle":"https://pith.science/pith/SPZZL7FFW7XCVJFOFBPVL5AT5Q/bundle.json","state":"https://pith.science/pith/SPZZL7FFW7XCVJFOFBPVL5AT5Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SPZZL7FFW7XCVJFOFBPVL5AT5Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SPZZL7FFW7XCVJFOFBPVL5AT5Q","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":"0a781351ba1a3efe8a404ea06f704edcf3299fad12af5affd8a2b268747860b9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-09-11T19:33:44Z","title_canon_sha256":"684df777208f9888bb6ee6ae9fb6a27a1832128c4d6020a163812c74c1189b28"},"schema_version":"1.0","source":{"id":"2409.07587","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.07587","created_at":"2026-07-05T09:06:12Z"},{"alias_kind":"arxiv_version","alias_value":"2409.07587v1","created_at":"2026-07-05T09:06:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.07587","created_at":"2026-07-05T09:06:12Z"},{"alias_kind":"pith_short_12","alias_value":"SPZZL7FFW7XC","created_at":"2026-07-05T09:06:12Z"},{"alias_kind":"pith_short_16","alias_value":"SPZZL7FFW7XCVJFO","created_at":"2026-07-05T09:06:12Z"},{"alias_kind":"pith_short_8","alias_value":"SPZZL7FF","created_at":"2026-07-05T09:06:12Z"}],"graph_snapshots":[{"event_id":"sha256:b6a02554a49141fa66ce5abd734535761f764103183b8480084275b285897886","target":"graph","created_at":"2026-07-05T09:06:12Z","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/2409.07587/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rising use of Large Language Models (LLMs) to create and disseminate malware poses a significant cybersecurity challenge due to their ability to generate and distribute attacks with ease. A single prompt can initiate a wide array of malicious activities. This paper addresses this critical issue through a multifaceted approach. First, we provide a comprehensive overview of LLMs and their role in malware detection from diverse sources. We examine five specific applications of LLMs: Malware honeypots, identification of text-based threats, code analysis for detecting malicious intent, trend an","authors_text":"Jamal Al-Karaki, Marwan Omar, Muhammad Al-Zafar Khan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-09-11T19:33:44Z","title":"Exploring LLMs for Malware Detection: Review, Framework Design, and Countermeasure Approaches"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.07587","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":"sha256:8fe520e68a84c20327d0435d3390831c61950aa4d9c71be8e4f6614bd0859f82","target":"record","created_at":"2026-07-05T09:06:12Z","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":"0a781351ba1a3efe8a404ea06f704edcf3299fad12af5affd8a2b268747860b9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-09-11T19:33:44Z","title_canon_sha256":"684df777208f9888bb6ee6ae9fb6a27a1832128c4d6020a163812c74c1189b28"},"schema_version":"1.0","source":{"id":"2409.07587","kind":"arxiv","version":1}},"canonical_sha256":"93f395fca5b7ee2aa4ae285f55f413ec3c1444d0bee52c13f15a30fa82a560c4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93f395fca5b7ee2aa4ae285f55f413ec3c1444d0bee52c13f15a30fa82a560c4","first_computed_at":"2026-07-05T09:06:12.094672Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:06:12.094672Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BTnAAMNXIaGONcZyIWrYJlwlYgcdNmJnfv8hnqCXI6hqQ27ovlbf1cfBHna6EwygHMT/aLYKm2CaHabLaNb0Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:06:12.095071Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.07587","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8fe520e68a84c20327d0435d3390831c61950aa4d9c71be8e4f6614bd0859f82","sha256:b6a02554a49141fa66ce5abd734535761f764103183b8480084275b285897886"],"state_sha256":"75052effc84ea21531b99d30389a22e06f44a845f7cddea7fafa59632b8b74c3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0HvdDrGL9jIO5+YhRiS145k71MoLML4e+EZddNtMRtU3ENqUU7qy9Dry7ZJMREwYPE1TRpHc6MbyjeIzpUYICw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:11:41.907795Z","bundle_sha256":"e070ac63ddfb6a44eb73f18224d269382bd9377a7ad9c8e5856086cbe9519b4c"}}