{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:LYP7IHXBMCRI53LSK3V5FAAU36","short_pith_number":"pith:LYP7IHXB","schema_version":"1.0","canonical_sha256":"5e1ff41ee160a28eed7256ebd28014df8923e3f2d2a6f49355e282536efd6b1a","source":{"kind":"arxiv","id":"2208.06792","version":1},"attestation_state":"computed","paper":{"title":"Improving Phishing Detection Via Psychological Trait Scoring","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Arjun Mukherjee, Omprakash Gnawali, Sadat Shahriar","submitted_at":"2022-08-14T06:39:27Z","abstract_excerpt":"Phishing emails exhibit some unique psychological traits which are not present in legitimate emails. From empirical analysis and previous research, we find three psychological traits most dominant in Phishing emails - A Sense of Urgency, Inducing Fear by Threatening, and Enticement with Desire. We manually label 10% of all phishing emails in our training dataset for these three traits. We leverage that knowledge by training BERT, Sentence-BERT (SBERT), and Character-level-CNN models and capturing the nuances via the last layers that form the Phishing Psychological Trait (PPT) scores. For the p"},"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":"2208.06792","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2022-08-14T06:39:27Z","cross_cats_sorted":[],"title_canon_sha256":"e152b464384a8f245db3561b36a9d6348b960443436f12b403fc1ed2592190c1","abstract_canon_sha256":"cab621d3a7de0f91546e00e8e4960bbffb73ba6cda7b3a771793a1e7efe63a49"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:48:20.774930Z","signature_b64":"IPlB8xPghJx9yNLlIzn2a7xBFCkNXO+KLN6+uXjXnPHFmxtWcm+F6D0a9i9qw1jeDHKRDB3Q+RbkpiZoPSesDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5e1ff41ee160a28eed7256ebd28014df8923e3f2d2a6f49355e282536efd6b1a","last_reissued_at":"2026-07-05T04:48:20.774592Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:48:20.774592Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Improving Phishing Detection Via Psychological Trait Scoring","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Arjun Mukherjee, Omprakash Gnawali, Sadat Shahriar","submitted_at":"2022-08-14T06:39:27Z","abstract_excerpt":"Phishing emails exhibit some unique psychological traits which are not present in legitimate emails. From empirical analysis and previous research, we find three psychological traits most dominant in Phishing emails - A Sense of Urgency, Inducing Fear by Threatening, and Enticement with Desire. We manually label 10% of all phishing emails in our training dataset for these three traits. We leverage that knowledge by training BERT, Sentence-BERT (SBERT), and Character-level-CNN models and capturing the nuances via the last layers that form the Phishing Psychological Trait (PPT) scores. For the p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.06792","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/2208.06792/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2208.06792","created_at":"2026-07-05T04:48:20.774653+00:00"},{"alias_kind":"arxiv_version","alias_value":"2208.06792v1","created_at":"2026-07-05T04:48:20.774653+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.06792","created_at":"2026-07-05T04:48:20.774653+00:00"},{"alias_kind":"pith_short_12","alias_value":"LYP7IHXBMCRI","created_at":"2026-07-05T04:48:20.774653+00:00"},{"alias_kind":"pith_short_16","alias_value":"LYP7IHXBMCRI53LS","created_at":"2026-07-05T04:48:20.774653+00:00"},{"alias_kind":"pith_short_8","alias_value":"LYP7IHXB","created_at":"2026-07-05T04:48:20.774653+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2506.20228","citing_title":"Measuring Modern Phishing Tactics: A Quantitative Study of Body Obfuscation Prevalence, Co-occurrence, and Filter Impact","ref_index":21,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LYP7IHXBMCRI53LSK3V5FAAU36","json":"https://pith.science/pith/LYP7IHXBMCRI53LSK3V5FAAU36.json","graph_json":"https://pith.science/api/pith-number/LYP7IHXBMCRI53LSK3V5FAAU36/graph.json","events_json":"https://pith.science/api/pith-number/LYP7IHXBMCRI53LSK3V5FAAU36/events.json","paper":"https://pith.science/paper/LYP7IHXB"},"agent_actions":{"view_html":"https://pith.science/pith/LYP7IHXBMCRI53LSK3V5FAAU36","download_json":"https://pith.science/pith/LYP7IHXBMCRI53LSK3V5FAAU36.json","view_paper":"https://pith.science/paper/LYP7IHXB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2208.06792&json=true","fetch_graph":"https://pith.science/api/pith-number/LYP7IHXBMCRI53LSK3V5FAAU36/graph.json","fetch_events":"https://pith.science/api/pith-number/LYP7IHXBMCRI53LSK3V5FAAU36/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LYP7IHXBMCRI53LSK3V5FAAU36/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LYP7IHXBMCRI53LSK3V5FAAU36/action/storage_attestation","attest_author":"https://pith.science/pith/LYP7IHXBMCRI53LSK3V5FAAU36/action/author_attestation","sign_citation":"https://pith.science/pith/LYP7IHXBMCRI53LSK3V5FAAU36/action/citation_signature","submit_replication":"https://pith.science/pith/LYP7IHXBMCRI53LSK3V5FAAU36/action/replication_record"}},"created_at":"2026-07-05T04:48:20.774653+00:00","updated_at":"2026-07-05T04:48:20.774653+00:00"}