{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:BTBSAXWCNEW5FHBVBVEQBRPFT6","short_pith_number":"pith:BTBSAXWC","schema_version":"1.0","canonical_sha256":"0cc3205ec2692dd29c350d4900c5e59fbd130f5e20448061a4f9715bb1b04a4d","source":{"kind":"arxiv","id":"2504.16125","version":1},"attestation_state":"computed","paper":{"title":"Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Guang Dai, Haishan Ye, Hao Di, Xiangyu Chang","submitted_at":"2025-04-20T05:59:00Z","abstract_excerpt":"This report presents a real-world case study demonstrating how prompt injection can attack large language model platforms such as ChatGPT according to a proposed injection framework. By providing three real-world examples, we show how adversarial prompts can be injected via user inputs, web-based retrieval, and system-level agent instructions. These attacks, though lightweight and low-cost, can cause persistent and misleading behaviors in LLM outputs. Our case study reveals that even commercial-grade LLMs remain vulnerable to subtle manipulations that bypass safety filters and influence user d"},"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":"2504.16125","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2025-04-20T05:59:00Z","cross_cats_sorted":[],"title_canon_sha256":"9573e7b08043ad54fb5bc93508f8c201e033b069418ce472c65bc598173027d4","abstract_canon_sha256":"c51bb22372962d6371d061e29e9401e8173a90136ec077ea53803262cd366cbc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:52:41.788372Z","signature_b64":"Gb0uhANpWDLRw8lzELGXW3D7iQ4dAqRrK2jVRJhzM0yjrC6hqV3p8azhI/Dkr/+s7MFyE+gsdrsqXvkzPBwhAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0cc3205ec2692dd29c350d4900c5e59fbd130f5e20448061a4f9715bb1b04a4d","last_reissued_at":"2026-07-05T10:52:41.787900Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:52:41.787900Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Guang Dai, Haishan Ye, Hao Di, Xiangyu Chang","submitted_at":"2025-04-20T05:59:00Z","abstract_excerpt":"This report presents a real-world case study demonstrating how prompt injection can attack large language model platforms such as ChatGPT according to a proposed injection framework. By providing three real-world examples, we show how adversarial prompts can be injected via user inputs, web-based retrieval, and system-level agent instructions. These attacks, though lightweight and low-cost, can cause persistent and misleading behaviors in LLM outputs. Our case study reveals that even commercial-grade LLMs remain vulnerable to subtle manipulations that bypass safety filters and influence user d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.16125","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/2504.16125/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":"2504.16125","created_at":"2026-07-05T10:52:41.787955+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.16125v1","created_at":"2026-07-05T10:52:41.787955+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.16125","created_at":"2026-07-05T10:52:41.787955+00:00"},{"alias_kind":"pith_short_12","alias_value":"BTBSAXWCNEW5","created_at":"2026-07-05T10:52:41.787955+00:00"},{"alias_kind":"pith_short_16","alias_value":"BTBSAXWCNEW5FHBV","created_at":"2026-07-05T10:52:41.787955+00:00"},{"alias_kind":"pith_short_8","alias_value":"BTBSAXWC","created_at":"2026-07-05T10:52:41.787955+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.29251","citing_title":"Provably Secure Agent Guardrail","ref_index":6,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BTBSAXWCNEW5FHBVBVEQBRPFT6","json":"https://pith.science/pith/BTBSAXWCNEW5FHBVBVEQBRPFT6.json","graph_json":"https://pith.science/api/pith-number/BTBSAXWCNEW5FHBVBVEQBRPFT6/graph.json","events_json":"https://pith.science/api/pith-number/BTBSAXWCNEW5FHBVBVEQBRPFT6/events.json","paper":"https://pith.science/paper/BTBSAXWC"},"agent_actions":{"view_html":"https://pith.science/pith/BTBSAXWCNEW5FHBVBVEQBRPFT6","download_json":"https://pith.science/pith/BTBSAXWCNEW5FHBVBVEQBRPFT6.json","view_paper":"https://pith.science/paper/BTBSAXWC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.16125&json=true","fetch_graph":"https://pith.science/api/pith-number/BTBSAXWCNEW5FHBVBVEQBRPFT6/graph.json","fetch_events":"https://pith.science/api/pith-number/BTBSAXWCNEW5FHBVBVEQBRPFT6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BTBSAXWCNEW5FHBVBVEQBRPFT6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BTBSAXWCNEW5FHBVBVEQBRPFT6/action/storage_attestation","attest_author":"https://pith.science/pith/BTBSAXWCNEW5FHBVBVEQBRPFT6/action/author_attestation","sign_citation":"https://pith.science/pith/BTBSAXWCNEW5FHBVBVEQBRPFT6/action/citation_signature","submit_replication":"https://pith.science/pith/BTBSAXWCNEW5FHBVBVEQBRPFT6/action/replication_record"}},"created_at":"2026-07-05T10:52:41.787955+00:00","updated_at":"2026-07-05T10:52:41.787955+00:00"}