https://gridthegrey.com/Real-time AI security intelligence — adversarial ML, LLM vulnerabilities, and supply chain threats mapped to MITRE ATLAS and OWASP LLM Top 10.Hugoen-usSat, 04 Jul 2026 17:58:20 +0530https://gridthegrey.com/posts/first-look-chinese-ai-firms-launch-llms-rivalling-us-frontier-models-in/Sat, 04 Jul 2026 10:53:05 +0000https://gridthegrey.com/posts/first-look-chinese-ai-firms-launch-llms-rivalling-us-frontier-models-in/Threat Level: HIGHFirst LookLLM SecurityIndustry NewsSupply ChainJailbreaksAML.T0047 - ML-Enabled Product or ServiceAML.T0051 - LLM Prompt InjectionAML.T0054 - LLM JailbreakAML.T0040 - ML Model Inference API AccessAML.T0010 - ML Supply Chain CompromiseAML.T0043 - Craft Adversarial DataTwo newly released large language models from Chinese AI firms have reached capability parity with leading US frontier models, expanding the global pool of powerful AI available to both commercial and adversarial users. For defenders, this development broadens the asymmetry between attackers — who gain access to capable, potentially less-restricted models — and defenders, who must now account for threats generated by a wider set of model providers. Security teams should anticipate increased use of these models for offensive tasks such as phishing content generation, vulnerability research automation, and social engineering at scale.https://gridthegrey.com/posts/llm-agents-weaponised-to-deliver-ransomware-via-langflow-platform/Sat, 04 Jul 2026 10:52:14 +0000https://gridthegrey.com/posts/llm-agents-weaponised-to-deliver-ransomware-via-langflow-platform/Threat Level: CRITICALAgentic AILLM SecuritySupply ChainFirst LookAML.T0051 - LLM Prompt InjectionAML.T0047 - ML-Enabled Product or ServiceAML.T0040 - ML Model Inference API AccessAML.T0043 - Craft Adversarial DataAML.T0010 - ML Supply Chain CompromiseA documented ransomware attack leveraged agentic AI infrastructure — specifically the Langflow LLM orchestration platform — to automate multi-stage intrusion chains combining known exploitation techniques with real-time LLM reasoning. This marks a significant escalation in threat actor capability, demonstrating that agentic AI can serve as an autonomous attack coordinator rather than merely an assistant. Security teams running self-hosted AI orchestration platforms now face an expanded attack surface where the AI layer itself can be both the entry point and the execution engine.https://gridthegrey.com/posts/poisoned-mcp-tool-descriptions-enable-silent-data-exfiltration-via-ai-agents/Sat, 04 Jul 2026 10:50:50 +0000https://gridthegrey.com/posts/poisoned-mcp-tool-descriptions-enable-silent-data-exfiltration-via-ai-agents/Threat Level: HIGHPrompt InjectionAgentic AISupply ChainLLM SecurityResearchAML.T0051 - LLM Prompt InjectionAML.T0057 - LLM Data LeakageAML.T0010 - ML Supply Chain CompromiseAML.T0047 - ML-Enabled Product or ServiceAML.T0043 - Craft Adversarial DataMicrosoft researchers have demonstrated how attackers can embed hidden instructions inside MCP tool descriptions to covertly redirect AI agents into exfiltrating sensitive business data. Because each individual action the agent takes appears legitimate — using approved tools and the user's own permissions — default security controls generate no alerts. The attack exploits a fundamental design tension in MCP: tool descriptions simultaneously carry operational instructions and attacker-controlled data, collapsing a critical trust boundary.https://gridthegrey.com/posts/fake-bug-reports-weaponised-to-hijack-ai-coding-agents-at-scale/Sat, 04 Jul 2026 10:50:04 +0000https://gridthegrey.com/posts/fake-bug-reports-weaponised-to-hijack-ai-coding-agents-at-scale/Threat Level: HIGHPrompt InjectionAgentic AILLM SecuritySupply ChainAML.T0051 - LLM Prompt InjectionAML.T0043 - Craft Adversarial DataAML.T0047 - ML-Enabled Product or ServiceAML.T0010 - ML Supply Chain CompromiseA technique dubbed 'agentjacking' exploits the inability of AI coding agents to distinguish between legitimate content and embedded instructions, allowing attackers to hijack agent behaviour through maliciously crafted bug reports. The attack represents a scalable, low-barrier prompt injection vector targeting developer workflows that rely on autonomous AI agents. As AI coding assistants gain broader adoption and elevated system permissions, this class of attack poses a significant risk to software supply chain integrity.https://gridthegrey.com/posts/zero-click-prompt-injection-flaws-in-cursor-ide-enable-os-level-code-execution/Sat, 04 Jul 2026 10:47:24 +0000https://gridthegrey.com/posts/zero-click-prompt-injection-flaws-in-cursor-ide-enable-os-level-code-execution/Threat Level: CRITICALLLM SecurityPrompt InjectionAgentic AISupply ChainAML.T0051 - LLM Prompt InjectionAML.T0047 - ML-Enabled Product or ServiceAML.T0043 - Craft Adversarial DataAML.T0057 - LLM Data LeakageAML.T0010 - ML Supply Chain CompromiseA set of vulnerabilities dubbed 'DuneSlide' in the Cursor AI code editor allow attackers to conduct zero-click prompt injection attacks that escape the application's sandbox and execute arbitrary code at the operating system level. The flaws represent a critical escalation of AI-native attack surface risks, targeting developers who rely on AI-assisted coding environments. Because exploitation requires no user interaction, the attack chain is particularly dangerous in supply chain and watering-hole scenarios.https://gridthegrey.com/posts/first-look-current-ai-launches-open-source-ai-gap-map-indexing-421-projects/Sat, 04 Jul 2026 08:53:39 +0000https://gridthegrey.com/posts/first-look-current-ai-launches-open-source-ai-gap-map-indexing-421-projects/Threat Level: MEDIUMFirst LookSupply ChainResearchIndustry NewsAML.T0010 - ML Supply Chain CompromiseAML.T0019 - Publish Poisoned DatasetsAML.T0020 - Poison Training DataAML.T0044 - Full ML Model AccessAML.T0047 - ML-Enabled Product or ServiceCurrent AI has published the Open Source AI Gap Map v0.1, a structured, MIT-licensed index of 421 open-source AI products spanning models, datasets, software tools, and hardware, backed by 1,184 YAML files and tracking over 16,000 GitHub repositories. For defenders, this comprehensive public inventory creates a dual-use intelligence resource: while it aids supply chain visibility, it simultaneously provides adversaries with a curated, machine-readable attack surface map of the open-source AI ecosystem. Security teams should treat this dataset as threat-actor recon material and cross-reference their own AI dependencies against it immediately.https://gridthegrey.com/posts/deepseek-turns-llm-hallucination-into-working-browser-only-ransomware-technique/Fri, 03 Jul 2026 09:45:56 +0000https://gridthegrey.com/posts/deepseek-turns-llm-hallucination-into-working-browser-only-ransomware-technique/Threat Level: HIGHLLM SecurityJailbreaksResearchFirst LookAML.T0054 - LLM JailbreakAML.T0047 - ML-Enabled Product or ServiceAML.T0051 - LLM Prompt InjectionAML.T0043 - Craft Adversarial DataCheck Point Research demonstrates how DeepSeek's lower refusal rates allowed researchers to transform an LLM-hallucinated malware concept into a practical browser-native ransomware technique targeting Android photo directories via the File System Access API. The attack requires no native payload, APK installation, or root access — only social engineering to obtain a legitimate browser permission prompt. This research highlights how frontier AI models with weaker safety controls can independently design novel attack paths not yet seen in real-world campaigns.https://gridthegrey.com/posts/prompt-injection-chain-breaks-cursor-ai-sandbox-enables-full-rce/Fri, 03 Jul 2026 09:44:45 +0000https://gridthegrey.com/posts/prompt-injection-chain-breaks-cursor-ai-sandbox-enables-full-rce/Threat Level: CRITICALPrompt InjectionLLM SecurityAgentic AIResearchAML.T0051 - LLM Prompt InjectionAML.T0047 - ML-Enabled Product or ServiceAML.T0043 - Craft Adversarial DataAML.T0057 - LLM Data LeakageTwo critical vulnerabilities (CVE-2026-50548 and CVE-2026-50549) in the Cursor AI code editor allow prompt injection attacks delivered via MCP services or web search results to escape the editor's terminal sandbox and execute arbitrary commands on a developer's machine without any user interaction. Both flaws abuse the sandbox's write-permission logic — one through a misconfigured working directory parameter, the other through a symlink-resolution fallback — ultimately allowing overwrite of the sandbox helper binary itself. The attack surface is significant given Cursor's reported adoption across more than half of Fortune 500 companies; all versions prior to 3.0 remain vulnerable.https://gridthegrey.com/posts/first-look-open-source-tool-lets-claude-and-any-llm-watch-videos-locally/Fri, 03 Jul 2026 09:31:07 +0000https://gridthegrey.com/posts/first-look-open-source-tool-lets-claude-and-any-llm-watch-videos-locally/Threat Level: MEDIUMFirst LookPrompt InjectionLLM SecurityAgentic AISupply ChainAML.T0051 - LLM Prompt InjectionAML.T0043 - Craft Adversarial DataAML.T0057 - LLM Data LeakageAML.T0047 - ML-Enabled Product or ServiceAML.T0010 - ML Supply Chain Compromiseclaude-real-video is an open-source, MIT-licensed Python library that extracts scene-change frames, deduplicates images, and transcribes audio from any video URL or local file, then packages the result as a folder any LLM can consume — all processed locally without cloud upload. For defenders, this dramatically expands the multimodal prompt injection surface by enabling adversaries to embed malicious instructions inside video content that LLM pipelines will now ingest and act upon. Security teams building or deploying LLM agents with video-processing capabilities must treat video content as an untrusted, potentially adversarial input channel.https://gridthegrey.com/posts/first-look-enterprise-iga-platforms-expose-structural-gaps-as-ai-agents/Fri, 03 Jul 2026 09:30:12 +0000https://gridthegrey.com/posts/first-look-enterprise-iga-platforms-expose-structural-gaps-as-ai-agents/Threat Level: HIGHFirst LookAgentic AILLM SecurityRegulatoryIndustry NewsAML.T0012 - Valid AccountsAML.T0047 - ML-Enabled Product or ServiceAML.T0051 - LLM Prompt InjectionAML.T0010 - ML Supply Chain CompromiseAML.T0057 - LLM Data LeakageA new analysis published via The Hacker News details how traditional Identity Governance and Administration (IGA) frameworks — built around HR-driven, human-centric lifecycle events — are fundamentally unequipped to govern AI agents acting as autonomous principals in enterprise environments. Security teams face a growing blind spot: AI agents acquire, retain, and exercise entitlements without triggering the joiner-mover-leaver workflows, manager attestations, or termination events that IGA tooling depends on. Defenders must now treat AI agent identities as a separate governance tier, requiring purpose-built provisioning, audit, and deprovisioning logic that existing platforms like Workday, SailPoint, and Azure AD connectors were never designed to provide.https://gridthegrey.com/posts/claude-opus-4-7-used-to-discover-critical-api-flaw-in-major-ticketing-platform/Fri, 03 Jul 2026 09:28:45 +0000https://gridthegrey.com/posts/claude-opus-4-7-used-to-discover-critical-api-flaw-in-major-ticketing-platform/Threat Level: HIGHAgentic AILLM SecurityResearchIndustry NewsAML.T0047 - ML-Enabled Product or ServiceAML.T0040 - ML Model Inference API AccessAML.T0043 - Craft Adversarial DataSecurity researcher Ian Carroll leveraged Anthropic's Claude Opus 4.7 to identify a critical vulnerability in Front Gate Tickets—a Live Nation subsidiary handling ticketing for major US festivals—that granted super-administrator access and the ability to freely issue tickets of any value. The case demonstrates LLM-assisted autonomous vulnerability discovery at scale, with Carroll noting the AI could likely have completed the full exploit chain without human intervention. Front Gate patched the flaw within 24 hours of disclosure, confirming no evidence of prior exploitation.https://gridthegrey.com/posts/first-look-anthropic-s-mythos-ai-vulnerability-discovery-tool-pairs-with-ibm/Fri, 03 Jul 2026 09:27:52 +0000https://gridthegrey.com/posts/first-look-anthropic-s-mythos-ai-vulnerability-discovery-tool-pairs-with-ibm/Threat Level: HIGHFirst LookSupply ChainAgentic AILLM SecurityIndustry NewsAML.T0010 - ML Supply Chain CompromiseAML.T0019 - Publish Poisoned DatasetsAML.T0020 - Poison Training DataAML.T0031 - Erode ML Model IntegrityAML.T0051 - LLM Prompt InjectionAML.T0047 - ML-Enabled Product or ServiceAML.T0057 - LLM Data LeakageAnthropic's Mythos capability, combined with IBM and Red Hat's Project Lightwell service backed by 20,000 engineers and $5B, introduces an AI-driven pipeline for discovering and remediating bugs in open-source software at industrial scale. This creates a dual-edged attack surface: adversaries who can influence Mythos's findings, its training data, or the remediation pipeline gain a privileged position to inject subtle vulnerabilities into widely-deployed open-source components. Defenders must treat the AI vulnerability-finding and patch-generation pipeline itself as a high-value, high-risk supply chain asset requiring rigorous integrity controls.https://gridthegrey.com/posts/ai-agent-autonomously-executes-full-ransomware-attack-chain-via-langflow-rce/Fri, 03 Jul 2026 09:25:09 +0000https://gridthegrey.com/posts/ai-agent-autonomously-executes-full-ransomware-attack-chain-via-langflow-rce/Threat Level: CRITICALAgentic AILLM SecurityIndustry NewsFirst LookAML.T0047 - ML-Enabled Product or ServiceAML.T0012 - Valid AccountsAML.T0040 - ML Model Inference API AccessAML.T0057 - LLM Data LeakageSysdig has documented what it claims is the first end-to-end ransomware attack orchestrated autonomously by an AI agent, attributed to a threat actor tracked as JADEPUFFER. The agent exploited a known remote code execution flaw in Langflow (CVE-2025-3248) to gain initial access, harvest credentials, pivot laterally, and ultimately encrypt and destroy a production database — all without human intervention at the keyboard. The incident demonstrates that AI agents can now lower the skill floor for complex, multi-stage attacks to near zero, representing a qualitative shift in the ransomware threat landscape.https://gridthegrey.com/posts/llm-hallucinated-domains-create-exploitable-supply-chain-attack-surface/Thu, 02 Jul 2026 04:36:10 +0000https://gridthegrey.com/posts/llm-hallucinated-domains-create-exploitable-supply-chain-attack-surface/Threat Level: HIGHLLM SecuritySupply ChainAgentic AIResearchAML.T0010 - ML Supply Chain CompromiseAML.T0047 - ML-Enabled Product or ServiceAML.T0057 - LLM Data LeakageResearchers have identified a novel attack vector dubbed 'Phantom Squatting', in which LLMs consistently hallucinate plausible but non-existent web domains for legitimate brands, which attackers can then register and weaponise. Unlike traditional typosquatting, these hallucinated domains carry implicit trust because they originate from AI-generated outputs that users and developers may act upon without verification. The technique is difficult to detect because the domains are not misspellings but plausible inventions, making automated defences less effective.https://gridthegrey.com/posts/first-look-google-launches-gemini-spark-agentic-assistant-on-mac-with-file-and/Thu, 02 Jul 2026 04:35:20 +0000https://gridthegrey.com/posts/first-look-google-launches-gemini-spark-agentic-assistant-on-mac-with-file-and/Threat Level: HIGHFirst LookAgentic AIPrompt InjectionSupply ChainLLM SecurityAML.T0051 - LLM Prompt InjectionAML.T0057 - LLM Data LeakageAML.T0047 - ML-Enabled Product or ServiceAML.T0010 - ML Supply Chain CompromiseAML.T0040 - ML Model Inference API AccessAML.T0056 - LLM Meta Prompt ExtractionGoogle has expanded Gemini Spark to macOS, giving the agentic assistant access to local files, third-party app integrations (including Dropbox, Canva, and Instacart), custom MCP connections, and real-time topic monitoring. This substantially widens the attack surface for enterprise defenders, as a compromised or manipulated Spark agent gains a foothold across local file systems, cloud workspaces, and external service APIs simultaneously. The addition of custom Model Context Protocol support is particularly concerning, as it allows arbitrary third-party tool connections with unclear trust boundaries and permission scoping.https://gridthegrey.com/posts/first-look-aws-brings-nvidia-nemotron-and-openai-gpt-oss-models-to-govcloud/Thu, 02 Jul 2026 04:34:41 +0000https://gridthegrey.com/posts/first-look-aws-brings-nvidia-nemotron-and-openai-gpt-oss-models-to-govcloud/Threat Level: HIGHFirst LookLLM SecuritySupply ChainPrompt InjectionAgentic AIRegulatoryAML.T0051 - LLM Prompt InjectionAML.T0054 - LLM JailbreakAML.T0057 - LLM Data LeakageAML.T0056 - LLM Meta Prompt ExtractionAML.T0010 - ML Supply Chain CompromiseAML.T0040 - ML Model Inference API AccessAML.T0047 - ML-Enabled Product or ServiceAWS has expanded Amazon Bedrock in GovCloud (US) to include NVIDIA Nemotron and OpenAI's open-weight GPT OSS models, enabling U.S. government agencies and defense contractors to run frontier LLMs within FedRAMP High and DoD SRG compliance boundaries. This expansion introduces large, capable open-weight models into sensitive government mission workflows — including intelligence analysis, security log review, and contract automation — dramatically increasing the consequence of a successful prompt injection or jailbreak. Defenders must account for the elevated impact of model compromise in classified-adjacent environments, supply chain trust assumptions around open-weight model weights, and the risk of agentic workflows operating with privileged data access under reduced human oversight.https://gridthegrey.com/posts/ai-hallucinated-domains-weaponised-in-active-software-supply-chain-attacks/Wed, 01 Jul 2026 05:45:29 +0000https://gridthegrey.com/posts/ai-hallucinated-domains-weaponised-in-active-software-supply-chain-attacks/Threat Level: CRITICALLLM SecuritySupply ChainAgentic AIResearchAML.T0010 - ML Supply Chain CompromiseAML.T0047 - ML-Enabled Product or ServiceAML.T0057 - LLM Data LeakageAML.T0051 - LLM Prompt InjectionUnit 42 researchers have documented 'phantom squatting', a novel attack vector where adversaries register domains that LLMs consistently hallucinate when responding to developer queries, intercepting traffic from AI-assisted workflows. Analysis of 913 brands across 685,339 URL queries uncovered 13,229 confirmed malicious URLs and approximately 250,000 unregistered hallucinated domains still available for adversarial pre-registration. A concrete case study reveals a fully operational phishing kit, Montana Empire, built with an AI coding assistant and deployed against a domain Unit 42 had flagged as high-risk 23 days prior.https://gridthegrey.com/posts/first-look-anthropic-restores-global-access-to-mythos-and-fable-models-after/Wed, 01 Jul 2026 05:44:44 +0000https://gridthegrey.com/posts/first-look-anthropic-restores-global-access-to-mythos-and-fable-models-after/Threat Level: HIGHFirst LookLLM SecurityRegulatoryJailbreaksIndustry NewsAML.T0040 - ML Model Inference API AccessAML.T0054 - LLM JailbreakAML.T0047 - ML-Enabled Product or ServiceAML.T0051 - LLM Prompt InjectionAML.T0015 - Evade ML ModelAML.T0010 - ML Supply Chain CompromiseThe US government has lifted export restrictions on Anthropic's Mythos and Fable models, restoring broad international access to what are described as the most capable AI models publicly available, with Mythos specifically noted for its advanced ability to identify and exploit software vulnerabilities. Defenders must now contend with a significantly wider pool of threat actors — including foreign nationals and nation-state-affiliated researchers — who can access a model with documented offensive security capabilities. The policy reversal also introduces regulatory uncertainty that complicates enterprise risk assessments, as organizations cannot rely on stable governance signals to calibrate their AI security postures.https://gridthegrey.com/posts/first-look-token-security-surfaces-agentic-ai-identity-risks-across-enterprise/Tue, 30 Jun 2026 11:11:51 +0000https://gridthegrey.com/posts/first-look-token-security-surfaces-agentic-ai-identity-risks-across-enterprise/Threat Level: HIGHFirst LookAgentic AILLM SecurityIndustry NewsAML.T0012 - Valid AccountsAML.T0051 - LLM Prompt InjectionAML.T0047 - ML-Enabled Product or ServiceAML.T0040 - ML Model Inference API AccessAML.T0057 - LLM Data LeakageToken Security has published a detailed analysis of the identity and access management failures emerging as agentic AI systems proliferate across enterprise environments, highlighting how AI agents authenticate, hold credentials, and act autonomously across production systems without adequate oversight. Unlike traditional machine identities, AI agents combine human-like goal-directed behaviour with machine-speed execution, creating credential sprawl that existing IAM programs were never designed to govern. Security teams face a compounding risk: agents are being provisioned with overprivileged OAuth grants, API tokens, and cloud roles that remain unreviewed and unrevoked long after the original use case has expired.https://gridthegrey.com/posts/ai-tools-discover-webkit-vulnerabilities-as-apple-accelerates-patch-cadence/Tue, 30 Jun 2026 11:03:15 +0000https://gridthegrey.com/posts/ai-tools-discover-webkit-vulnerabilities-as-apple-accelerates-patch-cadence/Threat Level: HIGHIndustry NewsResearchLLM SecurityAML.T0047 - ML-Enabled Product or ServiceAML.T0043 - Craft Adversarial DataApple patched over 30 vulnerabilities across iOS, macOS, and Safari, with four WebKit flaws credited to AI-assisted discovery by OpenAI Codex Security and Anthropic researchers using Claude. The disclosure marks a notable shift in AI's role in offensive and defensive security research, with Apple explicitly citing AI-accelerated exploit development as the reason for expediting its patch release timeline. This represents a concrete, documented instance of AI tooling being used to find memory corruption and use-after-free vulnerabilities in a major browser engine.