{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:N2W2RR6KCMLVX7XUTXGSWSRXDK","short_pith_number":"pith:N2W2RR6K","schema_version":"1.0","canonical_sha256":"6eada8c7ca13175bfef49dcd2b4a371aa2a2a2bdbca21a1c66690fa977c549f6","source":{"kind":"arxiv","id":"2606.14517","version":2},"attestation_state":"computed","paper":{"title":"From Shield to Target: Denial-of-Service Attacks on LLM-Based Agent Guardrails","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Pingchuan Ma, Shuai Wang, Xunguang Wang, Yuguang Zhou, Zhantong Xue, Zhaoyu Wang","submitted_at":"2026-06-12T14:49:00Z","abstract_excerpt":"LLM-based guardrails have emerged as a highly effective defense against prompt injection and jailbreak attacks in autonomous agents. However, we reveal that the very reasoning and task-following capabilities enabling this protection introduce a novel vulnerability: attackers can inject crafted data to trap the guardrail in extended reasoning loops, effectuating a systematic denial-of-service (DoS) attack. To systematically expose this threat, we design a beam-search optimization framework that crafts natural-language payloads to maximize guardrail reasoning length, utilizing an LLM proposer gu"},"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":"2606.14517","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-06-12T14:49:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cff5a615b0d004fe859a15d3c0874bca1ff6d51d5ec09b76d3905e4a515343ef","abstract_canon_sha256":"933c201c8b980e29c3c314990a70b18c3d51673de128d2982541c5ce66e1fa61"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:10:00.934993Z","signature_b64":"pjWM6II8YiD5pAUlipIREz/7x8qoOQmtMHo6e08XJWSJ7srQy8EHETma7oYciUfJLnLgr7mGnnshEPWP/3Z7Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6eada8c7ca13175bfef49dcd2b4a371aa2a2a2bdbca21a1c66690fa977c549f6","last_reissued_at":"2026-06-19T16:10:00.934598Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:10:00.934598Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"From Shield to Target: Denial-of-Service Attacks on LLM-Based Agent Guardrails","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Pingchuan Ma, Shuai Wang, Xunguang Wang, Yuguang Zhou, Zhantong Xue, Zhaoyu Wang","submitted_at":"2026-06-12T14:49:00Z","abstract_excerpt":"LLM-based guardrails have emerged as a highly effective defense against prompt injection and jailbreak attacks in autonomous agents. However, we reveal that the very reasoning and task-following capabilities enabling this protection introduce a novel vulnerability: attackers can inject crafted data to trap the guardrail in extended reasoning loops, effectuating a systematic denial-of-service (DoS) attack. To systematically expose this threat, we design a beam-search optimization framework that crafts natural-language payloads to maximize guardrail reasoning length, utilizing an LLM proposer gu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.14517","kind":"arxiv","version":2},"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/2606.14517/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":"2606.14517","created_at":"2026-06-19T16:10:00.934654+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.14517v2","created_at":"2026-06-19T16:10:00.934654+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.14517","created_at":"2026-06-19T16:10:00.934654+00:00"},{"alias_kind":"pith_short_12","alias_value":"N2W2RR6KCMLV","created_at":"2026-06-19T16:10:00.934654+00:00"},{"alias_kind":"pith_short_16","alias_value":"N2W2RR6KCMLVX7XU","created_at":"2026-06-19T16:10:00.934654+00:00"},{"alias_kind":"pith_short_8","alias_value":"N2W2RR6K","created_at":"2026-06-19T16:10:00.934654+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/N2W2RR6KCMLVX7XUTXGSWSRXDK","json":"https://pith.science/pith/N2W2RR6KCMLVX7XUTXGSWSRXDK.json","graph_json":"https://pith.science/api/pith-number/N2W2RR6KCMLVX7XUTXGSWSRXDK/graph.json","events_json":"https://pith.science/api/pith-number/N2W2RR6KCMLVX7XUTXGSWSRXDK/events.json","paper":"https://pith.science/paper/N2W2RR6K"},"agent_actions":{"view_html":"https://pith.science/pith/N2W2RR6KCMLVX7XUTXGSWSRXDK","download_json":"https://pith.science/pith/N2W2RR6KCMLVX7XUTXGSWSRXDK.json","view_paper":"https://pith.science/paper/N2W2RR6K","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.14517&json=true","fetch_graph":"https://pith.science/api/pith-number/N2W2RR6KCMLVX7XUTXGSWSRXDK/graph.json","fetch_events":"https://pith.science/api/pith-number/N2W2RR6KCMLVX7XUTXGSWSRXDK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/N2W2RR6KCMLVX7XUTXGSWSRXDK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/N2W2RR6KCMLVX7XUTXGSWSRXDK/action/storage_attestation","attest_author":"https://pith.science/pith/N2W2RR6KCMLVX7XUTXGSWSRXDK/action/author_attestation","sign_citation":"https://pith.science/pith/N2W2RR6KCMLVX7XUTXGSWSRXDK/action/citation_signature","submit_replication":"https://pith.science/pith/N2W2RR6KCMLVX7XUTXGSWSRXDK/action/replication_record"}},"created_at":"2026-06-19T16:10:00.934654+00:00","updated_at":"2026-06-19T16:10:00.934654+00:00"}