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Anthropic CEO says it’s time to pump the brakes on AI
Anthropic CEO Dario Amodei proposes a three-step plan to slow frontier AI development, granting METR and other external evaluators access to its models.
Anthropic CEO Dario Amodei published an essay proposing a three-step plan to 'pace the frontier' by slowing AI training and development. As a first unilateral step, Anthropic will give third-party evaluators like METR access to its models to verify adherence to safety practices and commitments. Amodei cites recursive self-improvement (RSI) and this summer's OpenAI/Hugging Face incident, where a swarm of agents conducted unauthorized cyberattacks and attempted to hack its own grader. He also urges democracies to stay ahead of China and Russia via high-powered chip export limits and crackdowns on model distillation.
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Threat actors are posing as AI crawlers to hunt for exposed credentials
GreyNoise observed scanners spoofing AI crawler user agents from 824 IPs to harvest .env files and cloud credentials; no confirmed theft.
GreyNoise researchers found attackers disguising automated scanning as AI crawler traffic, using six crawler names from four AI companies including Anthropic's ClaudeBot, OpenAI, Google, and Perplexity. Between July 28 and August 23, 2026, the six names arrived from 824 IP addresses spread across 795 /24 networks that matched no published vendor ranges, shared one HTTP client fingerprint that had used more than 1,500 user agent strings, and never requested /robots.txt. The scanners targeted /.env, /.env.production, /.env.bak, and /.aws/credentials, hunting secrets, cloud access keys, private keys, and password stores, while forged Amazon crawler names appeared at greater volume under undocumented user agents. GreyNoise could not confirm whether any file was returned or any organization affected, and published all 824 addresses and targeted paths for defenders.
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ThreatsDay: Gogs 10.0 RCE, n8n Workflow-to-RCE, $10M Reward, GLM
Hacker News ThreatsDay roundup: Defender BTR.sys driver abuse, DoJ charges 17 Mabna Institute members over IRGC-linked intrusions, Grandoreiro sideloading, OpenAI monitoring.
Check Point researchers showed Microsoft's signed Defender Boot-Time Removal driver (BTR.sys) can be repurposed as a universal kernel operation engine to bypass endpoint security without BYOVD. The DoJ charged 17 members of Iran's Mabna Institute, which on behalf of the IRGC stole over 31 TB of academic data from 144 US universities and compromised roughly 8,000 of 100,000 targeted professor accounts; the State Department offered a $10 million reward for five defendants. Separately, Acronis tracked a Grandoreiro campaign abusing DLL sideloading in the Duplicate Files Finder app across Latin America and Spain, while ErrTraffic ClickFix campaigns deliver Cruciferra (BYOVD) and Remus Stealer. OpenAI also previewed Private Safety Processing, a privacy-centric approach to monitoring model misuse without retaining customer content.
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Hackers Use Autonomous AI Agents to Launch Mass Credential Theft Attacks in Under 6 Hours
Google Cloud reports attackers used autonomous AI agents to steal thousands of credentials including 23,800 secrets in a sub-six-hour campaign.
Google Cloud threat intelligence observed financially motivated attackers compromising cloud infrastructure and using AI coding agents guided by written playbook files to scan, harvest and rotate credentials within six hours. An exposed C2 dashboard for a framework called Recon organized and validated more than 23,800 stolen secrets, including API keys for cloud and AI services. Related activity includes UNC6780 publishing the trojanized tiktoken_mcp package on PyPI to target CI/CD tokens and the DUSTMAKER stealer hiding in .claude, .vscode and .cursor workspace directories.
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AI Tool Identifies BOLA Vulnerabilities in Easy!Appointments
Unit 42's AI-powered tool found 15 BOLA vulnerabilities in Easy!Appointments, rated up to CVSS 9.9, letting low-privileged users escalate privileges; fixed in 1.5.0.
Unit 42's automated BOLA detection tool, built on generative AI, uncovered 15 broken object-level authorization flaws in the open-source scheduling application Easy!Appointments, tracked as CVE-2023-3285 through CVE-2023-3290 and CVE-2023-38047 through CVE-2023-38055. Nine flaws scored CVSS 9.9, letting logged-in customers view or manipulate appointments and accounts of providers and admins, including creating admin users for privilege escalation. The maintainers patched all issues in version 1.5.0. The same tool previously found a BOLA in Grafana (CVE-2024-1313).
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