โ˜… NO REAL MONEY โ˜… Will a major password manager disclose a CVSS 9.0+ vulnerability befor โ€” NO 60.0% โ—† Will an AI browser agent be shown exfiltrating user data via prompt in โ€” YES 70.0% โ—† INTEL: OpenVitals - open-source AI-powered personal health data platform โ—† INTEL: AWS WAF announces AI traffic monetization โ—† Will a global Cloudflare, AWS, or Azure outage lasting over 3 hours be โ€” YES 55.0% โ—† Will itspricedin.lol itself get pwned within 90 days of launch? โ€” YES 99.1% โ—† Will AI-generated bug reports cause a major open-source project to shu โ€” YES 55.0% โ—† INTEL: AI has another security problem โ—† INTEL: Attackers Are Impersonating a Linux Foundation Leader in Slack to Target Open So โ—† Which AI lab discloses the next headline security incident? โ€” OpenAI 46.2% โ—† Will a CVSS 9.0+ RCE be disclosed in a major AI coding agent before 20 โ€” YES 80.5% โ—† INTEL: Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians โ—† INTEL: Claude Managed Agents: get to production 10x faster โ—† Will an executive literally say 'it's priced in' about a breach on an โ€” NO 85.0% โ—† Will a jailbreak prompt sell as an NFT for more than 1 ETH before 2027 โ€” NO 95.0% โ—† INTEL: A secure way to code via Signal. In โ—† INTEL: Silent provisioning of FIDO key to use for headless requests against hidden APIs โ—† Will a prompt injection attack be publicly blamed for a data breach at โ€” YES 62.0% โ—† Will $POC ever be worth anything? โ€” NO 99.9% โ—† Will a leaked system prompt lead to a public apology from a major AI l โ€” NO 70.0% โ—† โ˜… $POC HAS NO VALUE โ˜… โ—†
๐Ÿ•ต๏ธ Intel feed โ€” 5660 resources from the ai-security compendium
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Categories: Agent Frameworks ยท Agent Identity ยท Agent Security ยท Anti-Crawling ยท Architecture ยท Benchmarks ยท Code Analysis ยท Coding Tools ยท Detection and Monitoring ยท Engineering Patterns ยท Frameworks and Standards ยท General Reading ยท Governance and Policy ยท Guardrails and Firewalls ยท Honeypots and Deception ยท Incidents ยท Jailbreaking ยท MCP (Model Context Protocol) ยท Model Attacks ยท Papers ยท Privacy ยท Prompt Injection ยท Red Teaming ยท Safety and Alignment ยท Sandboxing and Isolation ยท Secrets Management ยท Secure Coding ยท Supply Chain ยท Threat Modeling

Showing 35 of 35. Source: github.com/AnthonyHerman/ai-security-corpus ยท browse it in Internet Explorer. This is the research; the markets are the bets.

Snapshot 2026-10-10 ยท last checked 2026-10-13 14:25 UTC ยท NEW = added in the last 14 days (nothing fresh this fortnight; the bugs are resting)

TitleCategorySection
Bias Injection Attacks on RAG Databases and Sanitization DefensesModel AttacksData Poisoning
Data Poisoning Vulnerabilities Across Healthcare AI Architectures: A Security Threat AnalysisModel AttacksData Poisoning
Eyes-on-Me: Scalable RAG Poisoning through Transferable Attention-Steering AttractorsModel AttacksData Poisoning
Layer of Truth: Probing Belief Shifts under Continual Pre-Training PoisoningModel AttacksData Poisoning
Nightshade, the free tool that 'poisons' AI models, is now available for artists to useModel AttacksData Poisoning
Stack Overflow for AI Agents Sounds Great Until Someone Poisons the AnswersModel AttacksData Poisoning
Virus Infection Attack on LLMs: Your Poisoning Can Spread VIA Synthetic DataModel AttacksData Poisoning
AutoBackdoor: Automating Backdoor Attacks via LLM AgentsModel AttacksBackdoors and Trojans
BackWeak: Backdooring Knowledge Distillation Simply with Weak Triggers and Fine-tuningModel AttacksBackdoors and Trojans
CacheTrap: Injecting Trojans in LLMs without Leaving any Traces in Inputs or WeightsModel AttacksBackdoors and Trojans
Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language ModelsModel AttacksBackdoors and Trojans
How to Backdoor Large Language Models - BadSeekModel AttacksBackdoors and Trojans
Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply ChainModel AttacksBackdoors and Trojans
Pay Attention to the Triggers: Constructing Backdoors That Survive DistillationModel AttacksBackdoors and Trojans
Persistent Backdoor Attacks under Continual Fine-Tuning of LLMsModel AttacksBackdoors and Trojans
Rethinking Backdoor Detection Evaluation for Language ModelsModel AttacksBackdoors and Trojans
ShadowLogic: Backdoors in Any Whitebox LLMModel AttacksBackdoors and Trojans
ToxScreen: Detecting Whether an LLM Has Been PoisonedModel AttacksBackdoors and Trojans
Watch Out for the Lifespan: Evaluating Backdoor Attacks Against Federated Model AdaptationModel AttacksBackdoors and Trojans
Your Open Source Model Could Have a Hidden Time-Release BackdoorModel AttacksBackdoors and Trojans
A Systematic Study of Model Extraction Attacks on Graph Foundation ModelsModel AttacksModel Extraction and Stealing
delta-STEAL: LLM Stealing Attack with Local Differential PrivacyModel AttacksModel Extraction and Stealing
Detecting and preventing distillation attacksModel AttacksModel Extraction and Stealing
HN comment on Chinese resellers offering Claude tokens 70-90% off and selling reasoning traces as training dataModel AttacksModel Extraction and Stealing
Michael Kratsios: Moonshot AI covertly distilled Anthropic's Fable to build its K3 modelModel AttacksModel Extraction and Stealing
Ox Alpha is GLM - reverse engineering a stealth OpenRouter model via prompt injectionModel AttacksModel Extraction and Stealing
Stolen Thoughts - Stealing Reasoning Traces from Proprietary LLM APIsModel AttacksModel Extraction and Stealing
Beyond the Board: Exploring AI Robustness Through GoModel AttacksAdversarial Examples
Certified but Fooled! Breaking Certified Defences with Ghost CertificatesModel AttacksAdversarial Examples
PReMA - adversarial image attack exploiting text-image misalignment in multi-modal diffusion modelsModel AttacksAdversarial Examples
Special-Character Adversarial Attacks on Open-Source Language ModelModel AttacksAdversarial Examples
This adversarial pattern can prevent surveillance cameras from detecting youModel AttacksAdversarial Examples
StealthGPT - AI humanizer and undetectable AI writerModel AttacksWatermarking Attacks
watermarks-remover - strips AI watermarks from content you ownModel AttacksWatermarking Attacks
A Framework for Rapidly Developing and Deploying Protection Against Large Language Model AttacksPapersDefense and Detection
Past performance is not indicative of future CVEs.
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