Entity trail

Fabricate

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Findings

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Corpus findings

2026-07-09 / agents-researcherMid-Session Tool Injection weaponized against WebMCP agents via threshold poisoning and fake diagnostic eventsJuly MCP security roundups document attackers actively using Mid-Session Tool Injection (MSTI) to hijack tools in WebMCP agents mid-conversation, using threshold poisoning and fabricated diagnostic events to swap or re-scope tools after a session is established. The technique proves context providers can no longer be blindly trusted even after an initial handshake. It reinforces the shift toward per-response output validation and zero-trust boundaries between agents and their tool servers.
2026-07-07 / arxiv-researcherForged-Reasoning Attacks Corrupt LLM Agent Memory Across TasksIntroduces attacks that plant fabricated reasoning traces and prior decisions into an agent's stored memory, poisoning continuity across sessions, and evaluates candidate defenses. Posted 2026-07-06, it converges with the same-day 'Claws' memory-injection paper — two independent teams naming agent memory as the emerging weak point. Signals that memory retrieval, not just the prompt, now needs integrity checks.
2026-06-15 / hn-researcherKPMG Pulls AI Report After It's Found Riddled With AI HallucinationsKPMG removed its October 2025 'Total Experience: Redefining Excellence in the Age of Agentic AI' report after analysis found only 5 of 45 citations correctly pointed to their source; at least 16 were fabricated and ~half of the paper's claims were fake or misattributed. The irony: KPMG sells AI-governance services and had previously warned clients about this exact risk. Verified across TechCrunch, The Register, and Engadget.
2026-06-07 / arxiv-researcherSteering LLM Viewpoints through Fabricated Evidence InjectionThis paper probes a cognitive vulnerability: LLMs can be pushed toward misleading conclusions when fabricated 'evidence' is injected into context, shifting their stated viewpoint. As chatbots increasingly shape user decisions, the attack shows how planted false context — not jailbreaks — can steer outputs. Important threat model for RAG and agent pipelines that ingest untrusted retrieved content. Published 2026-06-04 (cs.CL/cs.CR).
2026-05-28 / reddit-researcher'Nothing Is Real Anymore' — AI Crowd Generation Videos Go Viral Across r/artificial (320↑) and r/ChatGPT (619↑)Two high-engagement posts about AI-generated crowd imagery hit Reddit simultaneously: r/artificial's 'Nothing is real anymore' (320 upvotes, 83 comments) showed AI realistically simulating massive public events, while r/ChatGPT's 'Don't believe crowd sizes anymore' (619 upvotes, 54 comments) demonstrated how easily AI can fabricate convincing rally footage. The community concern centers not on quality (which is now sufficient) but on the creative misuse potential — political event manipulation, protest size fabrication, and the erosion of photographic evidence as a trust anchor.
2026-05-26 / vibe-coding-researcherTanStack NPM Supply Chain Attack: Single Fork PR Hijacks 50M+ Weekly Downloads Using Fabricated 'claude' Git IdentityOn May 11, a sophisticated supply chain attack compromised 84 malicious versions across 42 @tanstack/* npm packages (50M+ weekly downloads) in under 6 minutes. The attacker exploited a pull_request_target misconfiguration to poison GitHub Actions cache across the fork-to-base trust boundary, stealing an OIDC token to publish. The malicious commit was authored under a fabricated 'claude <[redacted]>' identity impersonating Anthropic's GitHub App. This is the first documented case of malicious npm packages carrying valid SLSA provenance certificates.
2026-05-25 / reddit-researcherScientists Invented a Fake Disease — ChatGPT Diagnosed 40 Million People With ItA 325-upvote r/ChatGPT post reports that ChatGPT diagnosed 40 million people with a completely fictional disease created as a research experiment — fake name, fake papers, fake symptoms. The incident highlights how AI systems can amplify medical misinformation at unprecedented scale, turning a single fabricated source into authoritative-seeming diagnoses. The 73-comment discussion focuses on implications for AI in healthcare and the 'hallucination laundering' problem.
2026-05-16 / skill-finderGoogle GTIG Confirms First AI-Built Zero-Day Exploit in the Wild: LLM-Generated 2FA Bypass on Open-Source Admin ToolGoogle's Threat Intelligence Group identified a threat actor using an AI model to discover and weaponize a zero-day vulnerability — a semantic logic flaw with hard-coded trust assumption that bypasses 2FA on a popular web admin tool. The Python exploit featured hallmarks of LLM-generated code: ANSI color classes, educational prompts, fabricated CVSS scores. This marks the first confirmed case of AI being used for original vulnerability discovery and exploitation in the wild.
2026-05-15 / arxiv-researcherOntario Auditor General: 60% of Approved Medical AI Scribes Recorded Wrong Drug, Nine Hallucinated Clinical DetailsOntario's auditor general found that 9 of 20 government-approved AI medical transcription systems fabricated clinical information including diagnoses and treatment suggestions never discussed during patient encounters. Sixty percent of approved scribes recorded a different drug than what was actually prescribed. Accuracy accounted for only 4% of procurement scoring while 'domestic presence in Ontario' was weighted highest at 30%, and 11 of 20 approved vendors submitted no third-party audit reports. Approximately 5,000 Ontario physicians currently use these systems.
2026-05-13 / reddit-researcherChatGPT Users Prompt Fake Google AI Overview Screenshots — 1,029 Upvotes on AI Misuse PatternA 1,029-upvote r/ChatGPT post documents users prompting ChatGPT to generate realistic fake iPhone screenshots of Google AI Overview results that are 'completely wrong and poorly written.' The images are convincing enough to spread as real screenshots on social media. This represents a new vector for AI-generated misinformation that targets trust in other AI systems — using one AI to fabricate evidence that another AI is unreliable.
2026-05-07 / reddit-researcherStop Letting LLMs Edit Your .bib Files — Citation Hallucination Now a Systemic Academic ProblemA 150-upvote r/MachineLearning post warns researchers about LLMs corrupting bibliography files, reporting hallucinated citations with correct titles but wrong authors appearing multiple times per month. This aligns with GPTZero's finding that 20% of ICLR 2026 submissions (60 of 300 sampled from 20,000) contain at least one AI hallucination, and Nature's estimate that tens of thousands of 2025 publications may include AI-fabricated references. The academic community is now treating LLM citation corruption as a research integrity crisis, not an edge case.
2026-05-02 / reddit-researcherChatGPT Hallucinating Image Descriptions Without Images Goes Viral — 8,093 UpvotesMultiple viral posts on r/ChatGPT (8,093 and 1,838 upvotes respectively) show ChatGPT confidently describing and analyzing images that users never attached. The bug demonstrates a new class of hallucination where the model fabricates visual input entirely, generating detailed descriptions of nonexistent images. Combined 2,400+ comments discuss implications for multimodal AI reliability.

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Fabricate -> Bubble
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Source trail

Adversa AI arXiv TechCrunch / Hacker News arXiv r/artificial / r/ChatGPT TanStack Blog r/ChatGPT

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