{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UQTAX7OEMUIXDKGQYIJ2CSMI2H","short_pith_number":"pith:UQTAX7OE","canonical_record":{"source":{"id":"2605.18624","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-18T16:32:45Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1746659af09b85d5158ebd6deb2440552f96e9a5b2fd2410c49b4cbbbfb25e1a","abstract_canon_sha256":"5519f2ad8d9c5dc30812110484e81cd771129dad2d12a3f9095c408583c0ca23"},"schema_version":"1.0"},"canonical_sha256":"a4260bfdc4651171a8d0c213a14988d1f8e2b5410101c166f4ad092256736839","source":{"kind":"arxiv","id":"2605.18624","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18624","created_at":"2026-05-20T00:06:11Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18624v1","created_at":"2026-05-20T00:06:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18624","created_at":"2026-05-20T00:06:11Z"},{"alias_kind":"pith_short_12","alias_value":"UQTAX7OEMUIX","created_at":"2026-05-20T00:06:11Z"},{"alias_kind":"pith_short_16","alias_value":"UQTAX7OEMUIXDKGQ","created_at":"2026-05-20T00:06:11Z"},{"alias_kind":"pith_short_8","alias_value":"UQTAX7OE","created_at":"2026-05-20T00:06:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UQTAX7OEMUIXDKGQYIJ2CSMI2H","target":"record","payload":{"canonical_record":{"source":{"id":"2605.18624","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-18T16:32:45Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1746659af09b85d5158ebd6deb2440552f96e9a5b2fd2410c49b4cbbbfb25e1a","abstract_canon_sha256":"5519f2ad8d9c5dc30812110484e81cd771129dad2d12a3f9095c408583c0ca23"},"schema_version":"1.0"},"canonical_sha256":"a4260bfdc4651171a8d0c213a14988d1f8e2b5410101c166f4ad092256736839","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:06:11.378801Z","signature_b64":"n48w7Y5l6xe6K/c7rWjhleQY55ltKy8/5oleNj8Xe7A4djuqRRsinl0potvlnQpaTzwSZ6r1XpvVdRS0Lh8SBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a4260bfdc4651171a8d0c213a14988d1f8e2b5410101c166f4ad092256736839","last_reissued_at":"2026-05-20T00:06:11.378022Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:06:11.378022Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.18624","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":"2026-05-20T00:06:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OrP7nxBEBox5mv4a4vj4NC5jt4LtHQMFkzdcA0u5+OAjzCeh/+sN3cnIRH0h4ZgeTDCbIBovqrA8P1pDi2zeBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T06:46:09.835096Z"},"content_sha256":"49fd33df32371ca3566542cfc38849e19b44261cf4f61b4b7d39080449a30a35","schema_version":"1.0","event_id":"sha256:49fd33df32371ca3566542cfc38849e19b44261cf4f61b4b7d39080449a30a35"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UQTAX7OEMUIXDKGQYIJ2CSMI2H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning to Look Benign: Targeted Evasion of Malware Detectors via API Import Injection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CR","authors_text":"Juozapas Rokas \\v{C}ypas, Juozas Dautartas, Olga Kurasova, Viktor Medvedev","submitted_at":"2026-05-18T16:32:45Z","abstract_excerpt":"Machine learning-based malware detectors are widely deployed in antivirus and endpoint detection systems, yet their reliance on static features makes them vulnerable to adversarial manipulation. This paper investigates whether a malware sample can be intentionally misclassified as a specific benign software category, not merely as \"not malware\", by adding a small number of Win32 API imports characteristic of that selected category, without removing any existing imports or retraining the detector. We propose a framework centered on a Conditional Variational Autoencoder (CVAE) whose decoder is s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18624","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/2605.18624/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-20T00:01:59.215583Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"3f90bc334a62577836e70fea2016f0a0af6d6affea7186d3c6903a4159a1921f"},"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":"2026-05-20T00:06:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CUo6/zeHhbmbUbCCw4YK8Cjr1KeZKUUmHbUAk9/kkephl04faxBENKQuiqQipZdKndzLRbjpzNJGCwbisqIWCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T06:46:09.835816Z"},"content_sha256":"e078bb3b8593528cdd168c73cda891d1244953a0efaf9488bdbdb82d03b7fe3e","schema_version":"1.0","event_id":"sha256:e078bb3b8593528cdd168c73cda891d1244953a0efaf9488bdbdb82d03b7fe3e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UQTAX7OEMUIXDKGQYIJ2CSMI2H/bundle.json","state_url":"https://pith.science/pith/UQTAX7OEMUIXDKGQYIJ2CSMI2H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UQTAX7OEMUIXDKGQYIJ2CSMI2H/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":"2026-05-28T06:46:09Z","links":{"resolver":"https://pith.science/pith/UQTAX7OEMUIXDKGQYIJ2CSMI2H","bundle":"https://pith.science/pith/UQTAX7OEMUIXDKGQYIJ2CSMI2H/bundle.json","state":"https://pith.science/pith/UQTAX7OEMUIXDKGQYIJ2CSMI2H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UQTAX7OEMUIXDKGQYIJ2CSMI2H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UQTAX7OEMUIXDKGQYIJ2CSMI2H","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":"5519f2ad8d9c5dc30812110484e81cd771129dad2d12a3f9095c408583c0ca23","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-18T16:32:45Z","title_canon_sha256":"1746659af09b85d5158ebd6deb2440552f96e9a5b2fd2410c49b4cbbbfb25e1a"},"schema_version":"1.0","source":{"id":"2605.18624","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18624","created_at":"2026-05-20T00:06:11Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18624v1","created_at":"2026-05-20T00:06:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18624","created_at":"2026-05-20T00:06:11Z"},{"alias_kind":"pith_short_12","alias_value":"UQTAX7OEMUIX","created_at":"2026-05-20T00:06:11Z"},{"alias_kind":"pith_short_16","alias_value":"UQTAX7OEMUIXDKGQ","created_at":"2026-05-20T00:06:11Z"},{"alias_kind":"pith_short_8","alias_value":"UQTAX7OE","created_at":"2026-05-20T00:06:11Z"}],"graph_snapshots":[{"event_id":"sha256:e078bb3b8593528cdd168c73cda891d1244953a0efaf9488bdbdb82d03b7fe3e","target":"graph","created_at":"2026-05-20T00:06:11Z","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":[{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-20T00:01:59.215583Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.18624/integrity.json","findings":[],"snapshot_sha256":"3f90bc334a62577836e70fea2016f0a0af6d6affea7186d3c6903a4159a1921f","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning-based malware detectors are widely deployed in antivirus and endpoint detection systems, yet their reliance on static features makes them vulnerable to adversarial manipulation. This paper investigates whether a malware sample can be intentionally misclassified as a specific benign software category, not merely as \"not malware\", by adding a small number of Win32 API imports characteristic of that selected category, without removing any existing imports or retraining the detector. We propose a framework centered on a Conditional Variational Autoencoder (CVAE) whose decoder is s","authors_text":"Juozapas Rokas \\v{C}ypas, Juozas Dautartas, Olga Kurasova, Viktor Medvedev","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-18T16:32:45Z","title":"Learning to Look Benign: Targeted Evasion of Malware Detectors via API Import Injection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18624","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":"sha256:49fd33df32371ca3566542cfc38849e19b44261cf4f61b4b7d39080449a30a35","target":"record","created_at":"2026-05-20T00:06:11Z","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":"5519f2ad8d9c5dc30812110484e81cd771129dad2d12a3f9095c408583c0ca23","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-18T16:32:45Z","title_canon_sha256":"1746659af09b85d5158ebd6deb2440552f96e9a5b2fd2410c49b4cbbbfb25e1a"},"schema_version":"1.0","source":{"id":"2605.18624","kind":"arxiv","version":1}},"canonical_sha256":"a4260bfdc4651171a8d0c213a14988d1f8e2b5410101c166f4ad092256736839","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a4260bfdc4651171a8d0c213a14988d1f8e2b5410101c166f4ad092256736839","first_computed_at":"2026-05-20T00:06:11.378022Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:06:11.378022Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n48w7Y5l6xe6K/c7rWjhleQY55ltKy8/5oleNj8Xe7A4djuqRRsinl0potvlnQpaTzwSZ6r1XpvVdRS0Lh8SBg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:06:11.378801Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.18624","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:49fd33df32371ca3566542cfc38849e19b44261cf4f61b4b7d39080449a30a35","sha256:e078bb3b8593528cdd168c73cda891d1244953a0efaf9488bdbdb82d03b7fe3e"],"state_sha256":"3ef2b1636e83016e7cb27fc516f367baea03c2083bbbfa483eed9685477c29e5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"exJ3l7hZNQYWqTSe+ok+m24bY5zmR5ZD7I1sKut2ImpBYf7W38EyYNuwBdx19Qo30zTlaCDOANLR8HHYEKQICA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T06:46:09.839039Z","bundle_sha256":"c84ab9fb0499d03b59bd806e695c5ccd26a73d872644cee6796a6f6ad323bd52"}}