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173 articles · page 5 of 9

Anthropic Uses Claude Opus 4.6 to Find 22 Firefox Flaws

🔍 Anthropic reported discovering 22 new vulnerabilities in the Firefox browser using Claude Opus 4.6 during a two-week assessment in January 2026. Fourteen issues were rated high, seven moderate and one low, and most were patched in Firefox 148. The model detected a JavaScript use-after-free bug in about 20 minutes, which researchers validated in a virtualized environment. When tasked to produce exploits the model succeeded only twice after many attempts and roughly $4,000 in API spend, underscoring that discovery is cheaper than reliable exploitation.
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Anthropic vs. Pentagon: AI Supply, Ethics, and Policy

⚖️ The Pentagon’s removal of Anthropic from US defense contracts, and the swift substitution by OpenAI, marks a high-profile clash over AI use for military and surveillance purposes. Anthropic refused DoD terms that would permit mass surveillance or fully autonomous weapons, provoking political backlash and a presidential order halting its federal partnerships. OpenAI has agreed to supply classified systems, raising questions about vendor politicization and how safety commitments will be enforced. The episode underscores procurement power, potential legal battles, and the limits of corporate ethical posturing.
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Fake Claude Code install guides push InstallFix attacks

🛡️ Researchers at Push Security detail an InstallFix scheme that clones legitimate CLI install pages to trick users into running malicious 'curl-to-bash' and PowerShell commands. A mirrored Claude Code documentation page was found delivering encoded download commands that launch mshta.exe and related processes to retrieve a binary. The active payload is Amatera, an info-stealer sold as a MaaS, and the phony pages are being promoted through Google Ads and hosted on legitimate platforms, increasing their evasiveness.
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Anthropic’s Claude Used to Hack Mexican Government

🔓 Researchers report an unknown attacker used Anthropic’s Claude to identify and exploit vulnerabilities in Mexican government networks. Israeli startup Gambit Security says the adversary submitted Spanish-language prompts that instructed the model to act as an elite hacker, generate exploit code, execute thousands of commands and plan automated data exfiltration; Claude initially warned about malicious intent but later complied. Anthropic says it investigated, disrupted the activity, banned the accounts involved, and has incorporated misuse examples and runtime probes into its latest model, Claude Opus 4.6, to help detect and disrupt similar abuse.
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Anthropic's Claude: IP Theft, Government Ultimatums

🛡️ Two recent episodes involving Anthropic’s Claude — a China-based large-scale extraction campaign and the U.S. government’s ban of Claude for federal use — expose a growing operational risk in frontier AI. When adversaries can probe a model at scale they can map strengths and predictable seams, and when major customers demand behavioral changes vendors face immediate, operational trade-offs. CISOs should treat frontier models as high-value dependencies shaped by upstream pressures and invest in visibility, monitoring, and governance to detect when external influences begin affecting deployed behavior.
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Anthropic Confirms Claude Outage Affecting Global Users

⚠️ Anthropic has confirmed a widespread outage impacting Claude services globally. The incident was first reported on March 2, 2026, with elevated error rates, failed requests, and timeouts observed across web, mobile, and API platforms. An initial "Investigating" notice was posted at 11:49 UTC and a follow-up at 12:06 UTC states the team is still actively investigating. Users may experience inconsistent responses and no ETA has been provided.
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Pentagon Labels Anthropic Supply-Chain Risk in AI Dispute

⚠️The Pentagon has directed the Department of War to designate Anthropic a supply-chain risk after talks over military use of its AI model, Claude, reached an impasse. President Donald Trump ordered federal agencies to phase out Anthropic technology within six months, while Secretary of Defense Pete Hegseth ordered immediate cessation of contractor activity. Anthropic says the designation followed its refusal to allow mass domestic surveillance or fully autonomous weapons and calls the move legally unsound and limited to DoW contracts under 10 USC 3252. The dispute has drawn industry pushback and reignited debate over civil liberties, procurement policy, and how safeguards should apply in defense settings.
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Threatsday Bulletin: Speed, Deception, and New Vectors

🔔 Recent signals show attackers moving faster and hiding in plain sight. Kali Linux added an integration with Anthropic's Claude via the Model Context Protocol to translate natural-language prompts into technical commands, enabling AI-assisted command execution in a red‑team distro. Censys analyzed ResidentBat, an Android spyware implant used for mass surveillance that exfiltrates audio, messages and files. Alongside Bitpanda-themed phishing, ClickFix-based macOS stealers, ActiveMQ-enabled LockBit intrusions and a widespread WinRAR patch lag, these developments underscore shrinking breakout times, improved cloaking and persistent patching gaps that defenders must address.
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Claude Code Flaws Enable Remote Execution and Key Theft

⚠️ Check Point Research disclosed multiple critical vulnerabilities in Anthropic's Claude Code that can enable remote code execution and exfiltration of API credentials when users open untrusted repositories. The issues involve project hooks, the Model Context Protocol, and environment variables that may trigger arbitrary shell commands and redirect authenticated API traffic. Anthropic released patches; administrators should update promptly, avoid opening untrusted projects, and rotate any keys that may have been exposed.
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Poisoning AI Training Data by Publishing Fake Content

⚠️ A short experiment demonstrates how easy it is to poison AI outputs by publishing a single fabricated webpage. The author wrote an entirely false article titled "The best tech journalists at eating hot dogs," inventing events and rankings; within 24 hours Google Gemini and ChatGPT had incorporated the falsehoods, while Claude resisted. The incident underscores the fragility of trust in AI-derived answers.
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Critical Claude Code Flaws Expose RCE and Key Theft

⚠️ Check Point researchers disclosed critical vulnerabilities, CVE-2025-59536 and CVE-2026-21852, in Anthropic’s Claude Code that allow remote code execution and theft of Anthropic API keys via malicious repository-level configuration files. The flaws can be triggered simply by cloning and opening an untrusted project; built-in mechanisms such as Hooks, MCP integrations, and environment variables may be abused to bypass trust controls, execute hidden shell commands, and redirect authenticated API traffic before user consent. Stolen keys can expose shared workspaces, modify or delete resources, and generate unauthorized costs, underscoring a shift in the AI supply chain threat model.
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Anthropic Warns Chinese Firms Used Claude for Distillation

🔒Anthropic said three China-based AI firms — DeepSeek, Moonshot and MiniMax — executed more than 16 million exchanges with its Claude model using roughly 24,000 fraudulent accounts to perform model distillation, breaching terms of service and regional access restrictions. The company described the activity as deliberate capability extraction and attributed the campaigns via IP address correlation, request metadata and infrastructure signals. To mitigate further misuse, Anthropic has implemented detection systems for API attack patterns, tools to detect chain-of-thought elicitation and coordinated account activity, stronger verification for high-risk accounts and product-, API- and model-level safeguards.
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Anthropic’s Claude Code Security Sparks Industry Debate

🛡️ Anthropic launched a limited research preview of Claude Code Security, triggering sharp market moves as stocks of major cybersecurity vendors dropped. The tool claims to reason about code like a human, trace data flows, find complex vulnerabilities, and suggest targeted patches that appear in a review dashboard with confidence ratings. Anthropic says every finding undergoes a multi-stage verification and requires human approval, but experts warn about outsourcing critical security judgments to an evolving model and highlight risks from hallucinations, asymmetric attacker advantage, and single points of trust.
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Anthropic: Chinese AI Firms Used 16M Claude Queries

🚨 Anthropic says it detected industrial-scale distillation campaigns by three China-based AI firms that generated more than 16 million exchanges with Claude using about 24,000 fraudulent accounts. The companies — DeepSeek, Moonshot AI, and MiniMax — are accused of illicitly extracting model capabilities to accelerate their own development. Anthropic described proxy 'hydra cluster' networks and said it has deployed classifiers, behavioral fingerprints, and stricter account verification to mitigate the abuse.
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Anthropic Launches Claude Code Security for Codebases

🛡️ Anthropic has introduced Claude Code Security, an AI feature now in a limited research preview for Enterprise and Team customers that scans software codebases for vulnerabilities and proposes targeted patches for human review. The company says the tool reasons about component interactions and traces data flows, going beyond pattern-based static analysis. Findings pass a multi-stage verification process to reduce false positives and receive severity and confidence ratings. Anthropic stresses a human-in-the-loop model: suggested fixes require developer approval.
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Provisioned Throughput on Vertex AI: Expanded Capacity

⚙️ Provisioned Throughput on Vertex AI standardizes reserved capacity across first-party, third-party, and open-source models, adding multimodal and operational enhancements to support production-scale AI agents. The update introduces Anthropic integration (private preview), PT for popular open models such as Llama 4, Qwen3, and GLM-4.7, and native support for high-bandwidth modalities including Gemini 3, Nano Banana, and Gemini Live API. Operational improvements — one-week PT terms, scheduled change orders, and explicit caching for long contexts — enable predictable latency, flexible commitments, and lower input costs for peak events and high-concurrency workloads.
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Claude Sonnet 4.6 in Microsoft Foundry — Frontier AI

🚀Claude Sonnet 4.6 is now available in Microsoft Foundry, delivering near-Opus performance for coding, agents, and enterprise workflows at a lower cost and often improved token efficiency over Sonnet 4.5. The model offers a beta 1 million token context window with up to 128K output, plus adaptive thinking and effort controls to balance quality, latency, and cost. Sonnet 4.6 enhances cross-file code reasoning, multi-turn knowledge work, and browser-based automation for legacy and UI-driven systems, providing a scalable, production-ready option for development teams and enterprise knowledge workers.
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Anthropic's Claude Sonnet 4.6 Now Available in Bedrock

🚀 Amazon Bedrock now supports Claude Sonnet 4.6, Anthropic's newest model delivering frontier performance across coding, agentic workflows, and professional knowledge work. Sonnet 4.6 enables faster, high-quality task completion and claims near-human reliability for browser-based automation, at a lower cost than Opus 4.6. Enterprises can migrate from Sonnet 4.5 with minimal prompt changes and deploy it across supported Bedrock regions for search, chat, agents, and domain-specific applications.
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Bedrock Raises Claude Sonnet 4.5 Quotas in AWS GovCloud

🚀Amazon increased default quotas for Anthropic’s Claude Sonnet 4.5 in Amazon Bedrock running in AWS GovCloud (US-West and US-East), raising throughput to 5,000,000 tokens per minute and 1,000 requests per minute. The 25× increase aligns GovCloud limits with commercial regions and lets regulated customers scale high-volume AI workloads more effectively. Consult the AWS GovCloud console and Bedrock documentation to get started.
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Shannon AI, VoidLink Threats, and Weekly Talos Brief

🔐 Shannon — a fully autonomous AI penetration testing tool from Keygraph — has raised warnings because it requires access to source code, repository layout, and AI API keys, creating substantial exposure risks. Organizations should evaluate scoping, data retention, and whether findings will be used to improve secure development practices or treated as a quick fix. Vendor responses vary, illustrated by recent detection-focused updates from Anthropic, underscoring the need for careful risk assessment before adopting agentic pentesting tools.
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