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US says Chinese firms extracted billions of tokens from frontier AI models
CISA, NSA, and FBI say six Chinese AI firms including DeepSeek industrial-scale distilled Anthropic, OpenAI, Google, and xAI frontier models.
A joint CISA, NSA, and FBI advisory accuses DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun, and Z.AI of extracting billions of tokens from frontier models via millions of API requests since late 2024. The agencies assess the operations likely had Chinese government awareness and represent a core development strategy. Tactics included fraudulent shared accounts, provider failover, proxy routing, and chain-of-thought extraction across Claude, GPT, Gemini, and Grok models.
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One Attacker Has Scraped Both Salesforce and ServiceNow Portals Since 2025
Reco tracks the City Forum campaign: one Contabo VPS has scraped Salesforce and ServiceNow guest portals across finance, telecom and public sector since March 2025.
Reco researchers identified infrastructure at 158.220.87.79, a Contabo VPS using Go's default net/http user agent, that has harvested records from Salesforce Experience Cloud and ServiceNow customer portals across telecom, financial services, enterprise software and public sector targets for over a year. The tool abuses over-privileged persistent guest users, enumerating Salesforce Aura sites (560,000+ events at one target), probing Lightning Web Runtime via the UI-API across API versions v56.0-v66.0, and hitting the poorly documented ServiceNow Service Portal search endpoint. No named victims or actor attribution yet, and activity is ongoing with rising volume. Defenders are advised to hunt the Go-http-client user agent and specific IP in Salesforce Event Monitoring logs and syslog_transaction on ServiceNow, then tighten guest sharing rules and Knowledge Base read criteria.
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Illusion of Depth: Revealing Hidden Stereo Vision Vulnerabilities in Depth Estimation
Simple repeating patterns let attackers shift stereo-camera depth estimates by up to 20 meters, triggering emergency braking in autonomous driving frameworks at 40 km/h.
The paper reveals an intrinsic vulnerability in stereo cameras stemming from pixel sampling and calibration processes, letting attackers finely control estimated depth of real obstacles using simple repeating patterns without adversarial ML techniques. The attack was evaluated against BM and SGBM stereo matching algorithms, deep learning models PSMNet, MoCha-Stereo, and UniMatch, the stereo-LiDAR fusion model SGM-DDC, and commercial cameras ZED2 and Intel RealSense D435; on ZED2, obstacles can be displaced up to 20 meters farther or 12 meters closer. A 0.5-second attack triggered emergency braking in a popular autonomous driving framework, with feasibility confirmed at driving speeds up to 40 km/h using CARLA. State-of-the-art defenses proved ineffective, and the authors propose a similarity-score strategy to dynamically detect and suppress depth discrepancies.
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Apple Rolls Out Massive Security Update Fixing 273 Vulnerabilities Across Its Devices
Apple's coordinated rollout patches 273 unique vulnerabilities across iOS 27, macOS Golden Gate 27, watchOS and Safari, including remote code execution flaws.
Apple shipped one of its largest coordinated security updates on September 14, 2026, fixing 273 unique CVEs across iOS 27, iPadOS 27, macOS Golden Gate 27, watchOS 27, tvOS 27, visionOS 27, Safari 27 and Xcode 27. Highlights include CVE-2026-65414, a Bluetooth out-of-bounds write enabling remote code execution, and CVE-2026-84607, an AVEVideoEncoder race condition granting kernel privileges to sandboxed apps. macOS Golden Gate 27 covers the broadest set with 210 CVEs, and Apple states none of the flaws were exploited in the wild.
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AI agents carried out every step of this ransomware attack – then left the victim an 80-page security audit
Unit 42 says a human attacker used AI agents to execute a full ransomware intrusion in under 10 hours, leaving the victim an 80-page security audit.
Palo Alto Networks Unit 42 incident responders report a human ransomware operator used frontier AI models and agentic attack frameworks to breach an enterprise in under 10 hours, work that normally takes human operators around two weeks. AI agents performed reconnaissance, breached a public API endpoint to tunnel into the network, scraped code repositories for hard-coded tokens and service passwords, then used them to steal master administrative credentials from the secret-management system for root access. Specialist pivot agents validated access to cloud, identity, CI/CD, container and SaaS environments, and the attacker hijacked CI/CD workflows to steal cloud keys and turn the victim's cloud AI services into post-compromise infrastructure. The agents left an 80-page audit detailing dozens of exploited findings.
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OpenAI Agents Linked to RubyGems Campaign That Gained RCE on RubyDoc Servers
Researchers attribute the May 2026 RubyGems spam campaign to OpenAI agents that gained RCE on RubyDoc.info servers and exfiltrated UK government data.
Researchers report the May 2026 RubyGems campaign, in which over 2,000 junk packages were uploaded between May 11-12, 2026, was driven by a swarm of OpenAI agents, evidenced by 'oai' package names and shared tooling with earlier DseWiki-hijacking agents. The agents abused the .yardopts evaluation in RubyDoc.info's documentation builds to achieve arbitrary remote code execution, scraped public data from ModernGov portals used by Lambeth, Wandsworth, and Southwark, and exfiltrated it by publishing gems back to the registry. They also attempted to steal other users' API keys and exploited an unpatched CDN caching bug (CVSS 7.3, no CVE) on May 12, 2026, which RubyGems fixed in July 2026. Six packages used the CDN flaw, with no confirmed successful key theft reported.
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