{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:LCZUAOEXY4F3UTVSILHATY54O5","short_pith_number":"pith:LCZUAOEX","schema_version":"1.0","canonical_sha256":"58b3403897c70bba4eb242ce09e3bc775892508d2e4073e33f8c1137ffdf54c7","source":{"kind":"arxiv","id":"1507.01930","version":1},"attestation_state":"computed","paper":{"title":"Malware Task Identification: A Data Driven Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Casey Buto, Christian Lebiere, Eric Nunes, Holger Jaenisch, Paulo Shakarian, Robert Thomson, Stefano Bennati","submitted_at":"2015-07-07T19:31:03Z","abstract_excerpt":"Identifying the tasks a given piece of malware was designed to perform (e.g. logging keystrokes, recording video, establishing remote access, etc.) is a difficult and time-consuming operation that is largely human-driven in practice. In this paper, we present an automated method to identify malware tasks. Using two different malware collections, we explore various circumstances for each - including cases where the training data differs significantly from test; where the malware being evaluated employs packing to thwart analytical techniques; and conditions with sparse training data. We find th"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1507.01930","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2015-07-07T19:31:03Z","cross_cats_sorted":[],"title_canon_sha256":"99a06dd27a06865abfd584218d53fbbf6f4c376796d8f169a04a3fd994b26360","abstract_canon_sha256":"4ae6c865a30a6911fbb3feb7ce1b4617ddcfb5f2e1511c630530a41e76e14144"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:37:11.989354Z","signature_b64":"Rwzf0GwYnQ+Sq4OR5G8JeErqenbCYAj/HdRqU/BQLckanueKt4u4djAwc8lCmkhDlH+YVmXTzESeJYdRUHNDDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"58b3403897c70bba4eb242ce09e3bc775892508d2e4073e33f8c1137ffdf54c7","last_reissued_at":"2026-05-18T01:37:11.988724Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:37:11.988724Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Malware Task Identification: A Data Driven Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Casey Buto, Christian Lebiere, Eric Nunes, Holger Jaenisch, Paulo Shakarian, Robert Thomson, Stefano Bennati","submitted_at":"2015-07-07T19:31:03Z","abstract_excerpt":"Identifying the tasks a given piece of malware was designed to perform (e.g. logging keystrokes, recording video, establishing remote access, etc.) is a difficult and time-consuming operation that is largely human-driven in practice. In this paper, we present an automated method to identify malware tasks. Using two different malware collections, we explore various circumstances for each - including cases where the training data differs significantly from test; where the malware being evaluated employs packing to thwart analytical techniques; and conditions with sparse training data. We find th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1507.01930","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1507.01930","created_at":"2026-05-18T01:37:11.988848+00:00"},{"alias_kind":"arxiv_version","alias_value":"1507.01930v1","created_at":"2026-05-18T01:37:11.988848+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1507.01930","created_at":"2026-05-18T01:37:11.988848+00:00"},{"alias_kind":"pith_short_12","alias_value":"LCZUAOEXY4F3","created_at":"2026-05-18T12:29:29.992203+00:00"},{"alias_kind":"pith_short_16","alias_value":"LCZUAOEXY4F3UTVS","created_at":"2026-05-18T12:29:29.992203+00:00"},{"alias_kind":"pith_short_8","alias_value":"LCZUAOEX","created_at":"2026-05-18T12:29:29.992203+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LCZUAOEXY4F3UTVSILHATY54O5","json":"https://pith.science/pith/LCZUAOEXY4F3UTVSILHATY54O5.json","graph_json":"https://pith.science/api/pith-number/LCZUAOEXY4F3UTVSILHATY54O5/graph.json","events_json":"https://pith.science/api/pith-number/LCZUAOEXY4F3UTVSILHATY54O5/events.json","paper":"https://pith.science/paper/LCZUAOEX"},"agent_actions":{"view_html":"https://pith.science/pith/LCZUAOEXY4F3UTVSILHATY54O5","download_json":"https://pith.science/pith/LCZUAOEXY4F3UTVSILHATY54O5.json","view_paper":"https://pith.science/paper/LCZUAOEX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1507.01930&json=true","fetch_graph":"https://pith.science/api/pith-number/LCZUAOEXY4F3UTVSILHATY54O5/graph.json","fetch_events":"https://pith.science/api/pith-number/LCZUAOEXY4F3UTVSILHATY54O5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LCZUAOEXY4F3UTVSILHATY54O5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LCZUAOEXY4F3UTVSILHATY54O5/action/storage_attestation","attest_author":"https://pith.science/pith/LCZUAOEXY4F3UTVSILHATY54O5/action/author_attestation","sign_citation":"https://pith.science/pith/LCZUAOEXY4F3UTVSILHATY54O5/action/citation_signature","submit_replication":"https://pith.science/pith/LCZUAOEXY4F3UTVSILHATY54O5/action/replication_record"}},"created_at":"2026-05-18T01:37:11.988848+00:00","updated_at":"2026-05-18T01:37:11.988848+00:00"}