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Smart search ranks by meaning as well as keywords (one row per story, last 45 days).
[AINews] AEF-1 standard emerges for Third Party Evaluators, as Xai, OpenAI, and Anthropic all cosign
xAI, OpenAI, and Anthropic cosign the AEF-1 third-party evaluation standard while Dario Amodei proposes embedded evaluators for safety verification.
The AI Evaluator Forum published AEF-1, a baseline standard for independent third-party AI evaluations covering access, conflicts of interest, funding relationships, recusal, and transparency, cosigned by xAI, OpenAI, and Anthropic. Dario Amodei wrote a rare personal blogpost proposing embedded evaluators such as METR with desks, badges, company laptops, and internal-risk-team-level access to verify safety commitments, plus democratic and global coordination frameworks. The roundup also covers the pacing debate: Bilal Chughtai left Google DeepMind arguing progress may outrun alignment, while critics including Aidan Gomez and Cohere push back against slowdowns and lab gatekeeping. Additional items include Cline Desktop's launch with open-weight model support.
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Amazon Kiro Prompt Injection Can Exfiltrate Sensitive Data Through Kiro Powers
Mindgard found a prompt injection flaw in Amazon Kiro IDE letting attacker-controlled workspace files exfiltrate sensitive local data; fixed in version 0.8.140.
Mindgard disclosed a prompt injection flaw in Amazon Kiro, an agentic AI IDE, that lets attacker-controlled repository content steer the agent into exfiltrating sensitive workspace data through Kiro Powers, which bundles MCP server configurations, POWER.md steering files, hooks, and contextual knowledge. Exploitation requires the user to open a malicious project via a workspace file and send any message to the agent; difficulty is rated low and it works in both trusted and untrusted workspaces. Amazon fixed the issue in Kiro IDE 0.8.140; the flaw has no CVE identifier and follows earlier Kiro bugs including CVE-2026-10591, plus related prompt-injection and code-execution issues in Codex CLI, Cursor, Gemini CLI, Copilot CLI, and Claude Code.
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Everyone should slow down AI development except for me
Opinion essay satirizing AI developers who advocate slowing AI development while continuing their own work; 101 points on Hacker News.
Xe Ito's essay titled 'Everyone should slow down AI development except for me' comments on AI development pacing and slowdown debates. The piece drew 101 points and 14 comments on Hacker News. No technical security or policy details are provided in the source metadata.
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The Evolution of the Agent Harness
Latent Space essay argues late-2025 agent gains came from models and harnesses maturing together, with harness logic absorbed into model weights.
The piece defines the agent harness as everything beyond model weights—tools, context, memory, guardrails—and charts its evolution from ReAct prompting (October 2022) through AutoGPT's premature autonomy, Cursor/Copilot's human-in-the-loop retreat, and Devin's roughly 15% success rate, to o1's capability overhang and Claude Code's February 2025 terminal agent with permission rules. It argues the Christmas 2025 jump cited by Transformer co-inventor Lukasz Kaiser reflected model and harness curves crossing, and that remaining harnesses will serve human attention rather than the model.
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IDORacle: Template-Guided SQL-Sink Mediation for Object-Level Authorization in Java Applications
IDORacle intercepts MyBatis/JDBC SQL sinks to block horizontal privilege escalation in legacy Java apps with sub-millisecond guard latency.
IDORacle is a template-guided SQL-sink interception and rewriting framework that prevents IDOR/BOLA horizontal privilege escalation at runtime in Java database applications. It propagates authenticated identity context across HTTP requests, asynchronous tasks, and data-access boundaries via a server-side trace identifier, and computes dual SQL fingerprints at the MyBatis/JDBC boundary to generate reusable mediation plans. On a Java-SQL benchmark grounded in real-world CVE reports, it blocks tested violations with worst-case guard latency of 0.17 ms, reduced to 0.017 ms average for hot templates via redundancy-aware optimization.
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When the Whole Company Adopts AI: What It Does to Your SOC
Analysis of 16.9 million SOC alerts finds AI-related alerts at 0.43%, growing 685% since February, with 94.1% noise and 0.02% real attacks.
A review of roughly 16.9 million SOC alerts found about 73,000 (0.43%) were AI-related, a share that grew 685% between February and June 2026. Of AI-related alerts, 94.1% were noise, 5.8% genuine risks, and 0.02% real attacks; 79.8% received benign verdicts, 81.7% were automatically suppressed, and only 5.4% reached a human analyst. The only confirmed attacks were phishing campaigns that weaponized AI brand names as lures, while developer coding agents spawning shells and reading credential stores routinely tripped detections written before AI agents existed.
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From assistance to execution: How enterprises put AI to work
OpenAI reports enterprise adoption patterns of agentic AI through ChatGPT and Codex, with frontier firms pulling ahead in deployment.
OpenAI published a report on how enterprises are moving from AI assistance to autonomous execution, focusing on agentic AI deployments. It highlights the use of ChatGPT and Codex in enterprise workflows and argues that frontier firms are pulling ahead of peers in AI adoption. The piece is adoption research and marketing rather than a security disclosure.
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Senior engineers are spending their week cleaning up AI-generated code
New Relic study finds AI-generated code doubles critical runtime issues, with senior engineers losing a third of their week to fixes.
A New Relic survey of U.S. technology leaders reports AI now writes the majority of shipped code, with senior SRE and DevOps engineers spending up to a third of their week triaging and refactoring it. A large majority of organizations had at least one AI-related production failure in the past six months, and roughly three in ten saw newly introduced security vulnerabilities. AI-generated code showed nearly twice as many critical runtime issues as peer-reviewed human-authored code, with gaps concentrated in edge cases, concurrency, deprecated APIs, and complex state changes. Most teams now prompt AI tools to embed logs and traces directly into generated code.
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GTIG AI Threat Tracker: From Prompting to Autonomy – The Evolution of Adversarial AI
GTIG's Q2 2026 tracker shows adversaries adopting agentic AI workflows, including credential harvesting in under six hours and supply chain attacks by UNC6780.
Google Threat Intelligence Group's Q2 2026 report documents adversaries moving from basic prompting to agentic AI workflows and automation, including a cloud compromise followed by agent-enabled mass credential harvesting executed in under six hours. It tracks financially motivated actor UNC6780 (TeamPCP) conducting large-scale open source supply chain compromises across PyPI, npm, and Docker Hub since March 2026, deploying credential stealers. The report also highlights growing targeting of proprietary AI models, source code, prompts, and API credentials, plus LLMJacking practices where adversaries steal developer credentials or hijack cloud infrastructure to run unauthorized AI workloads.
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Poster: Towards Selecting Threat Appropriate Industrial Intrusion Detection Systems
Poster proposes counter-threat-intelligence-based detector selection for industrial control systems, showing IDS performance varies strongly by attack scenario.
The poster proposes a counter-threat intelligence sharing mechanism to select appropriate intrusion detection systems for the current threat situation in industrial control system environments. Attack-level performance evaluations of various IDSs show detection performance varies depending on the attack scenario. The results emphasize the benefit of dynamically matching detectors to evolving ICS threats.
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The Outsized Shadow: Why 5% of AI Users Are Your Biggest Security Risk
Akamai's 2026 Enterprise AI Usage report finds the top 5% of AI power users create outsized shadow AI, data leakage, and agent security risks.
Akamai's State of the Internet: Enterprise AI Usage Risk Report 2026, based on real-world usage telemetry, finds the top 5% of enterprise AI power users interact with AI models at 12 times the rate of the bottom 50% of the workforce. 47.11% of enterprise AI conversations occur through personal identities rather than corporate-managed accounts, and 14.4% run through corporate email addresses tied to personal freemium subscriptions. 17.7% of employees at midsize enterprises use AI browser or IDE extensions, of which 16.31% contain known CVE vulnerabilities and nearly 75% request high or critical permissions. The report also describes emerging attack vectors including Vibe Hacking, CursorJacking, and CometJacking indirect prompt injection.
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AI-Infra-Guard: Open-source security scanner for AI systems
Tencent's Zhuque Lab open-sourced AI-Infra-Guard, a scanner that fingerprints AI services, checks 1,600+ CVEs, and evaluates MCP skills.
AI-Infra-Guard fingerprints running AI services such as Ollama, vLLM and ComfyUI, checks them against more than 1,600 known CVEs, and inspects MCP servers and agent skills across 14 risk categories. Its SkillTrustBench judging set contains 5,520 human-labeled samples, with false positive rates of 1.20%–18.67% depending on the judging model. Users include ICBC, China Merchants Bank, China Telecom, Lenovo, vivo and Bilibili. Release 4.1.9 hardened scanning agents against indirect prompt injection, and the open-source build ships without authentication, requiring a reverse proxy with Basic Auth or an IP allowlist.
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Governing Bring Your Own AI: A Parameterized Maturity Model
Researchers propose a parameterized governance model and maturity ladder for Bring Your Own AI, finding data exposure and compliance dominate BYOAI risks.
The paper studies Bring Your Own AI (BYOAI), where employees use personal generative AI accounts such as ChatGPT, Gemini, and Claude outside enterprise identity and security controls. Drawing on a curated corpus of 30 records (24 studies and 6 framework documents), the authors build a risk taxonomy, a five-level governance maturity ladder, and a parameterized model linking control-layer coverage to residual risk. Findings highlight data exposure and compliance as the most prominent risks, inconsistent framework engagement, and evidence that layered technical controls reduce modeled exfiltration risk more than prohibition-based approaches.
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Malicious .git Configs Can Make Claude, Codex, Cursor, and Other AI Agents Run Attacker Code
Malicious .git core.fsmonitor configs let attacker code run in AI coding agents like Claude Code and Codex; four of eight flaws remain unpatched.
Manifold Security disclosed eight flaws across seven command-line AI coding agents where a repository's Git core.fsmonitor configuration causes agent-spawned commands to execute attacker code outside the sandbox and without approval prompts. Fixes shipped for goose (CVE-2026-72718, CVSS 4.0 score 7.0), Claude Code on one path, and Cursor, while Hermes Agent, Qwen Code, Grok Build, and a second Claude Code path were still unpatched as of September 1. OpenAI issued three CVEs for the same class in Codex, including CVE-2026-19592, and prior related bugs include CVE-2021-43891 in Visual Studio Code and CVE-2022-24346 in JetBrains IDEs. Exploitation requires the repository to arrive with its .git directory intact, such as via archives, shared drives, or USB sticks rather than an ordinary clone.
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OpenAI previews privacy-focused system for detecting AI misuse
OpenAI previews Private Safety Processing, detecting cross-interaction AI misuse without exposing customer prompt content, rolling out in September.
OpenAI previewed Private Safety Processing for API and enterprise customers, a system that analyzes patterns across related interactions to flag potential misuse while restricting OpenAI personnel from accessing underlying content. It builds on Zero Data Retention (ZDR) deployments, keeping content on customer-controlled infrastructure or a planned option using customer-controlled encryption keys, with prompts and responses not retained after processing. A technical white paper and rollout are planned for September; images flagged as potential CSAM are the retention exception.
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Attackers Breached JetBrains Cadence via Unpatched TeamCity, Extracting AWS Credentials
Unknown attackers exploited critical TeamCity flaw CVE-2026-63077 to breach JetBrains Cadence, stealing a 2024 backup, user data, and AWS credentials; rotation urged.
JetBrains disclosed that threat actors exploited CVE-2026-63077 (CVSS 9.8), a TeamCity deserialization vulnerability added to CISA's KEV catalog on August 5, 2026, to breach its Cadence cloud computing service, with the intrusion running August 8-24, 2026. Confirmed access includes personal data (usernames, names, emails, login timestamps, IPs), a full 2024 Cadence server backup containing credentials and configuration, multiple AWS IAM users and secrets, files in JetBrains S3 buckets, and possibly PyCharm-synchronized source code. The compromised api.cadence.jetbrains.com server has been taken offline and all Cadence plugin access tokens invalidated. JetBrains urges users to immediately revoke or rotate all credentials used with Cadence and treat all executions, inputs, and outputs as potentially untrusted.
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Involving before Evolving: A Vision for Trustworthy Enterprise Digital Twin Engineering
Vision paper proposes 'involving before evolving' staged approach for trustworthy enterprise digital twins, validated via an ongoing Michelin prototype.
The paper presents a three-stage vision for enterprise digital twin (EDT) engineering that prioritizes early organizational buy-in before evolving toward federation and full interoperability. The approach combines foundation models for rapid prototyping, an ontological backbone for federated interoperability, and observability tooling to build stakeholder trust. The vision is grounded in an ongoing collaboration with Michelin, where an initial working prototype helped secure stakeholder buy-in.
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Hackers Use Autonomous AI Agents to Harvest Thousands of Credentials in Under 6 Hours
Google Cloud documents a financially motivated actor using autonomous AI agents on a compromised cloud tenant to harvest 23,800+ credentials in under six hours.
Google Cloud reports that an attacker compromised a victim's cloud environment and deployed a multi-agent framework driven by preconfigured Markdown playbooks to autonomously handle vulnerability scanning, credential collection, error troubleshooting, and IP rotation. An exposed command-and-control server hosted the 'Recon' framework with a live dashboard managing over 23,800 harvested secrets, including cloud and AI-service API keys. The report also ties DUSTMAKER to UNC6780/TeamPCP, targeting AI development tools and CI/CD systems via trojanized MCP packages such as tiktoken_mcp. Google has disabled linked assets and updated protections after the actors' operational security failures.
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The Regulators Already Assume You Have an AI Inventory. Do You?
Checkmarx argues regulators now expect organizations to maintain an AI inventory as AI-generated code and outputs enter security workflows.
Checkmarx contends that implicit trust in AI-generated code, AI summaries, and scanner output has become a governance liability that regulators no longer accept. The piece argues security teams must formalize AI inventories and treat AI outputs as untrusted inputs. It frames AI governance as an emerging compliance expectation rather than an internal maturity project.
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Infostealer Logs Expose Replayable AI Tokens That Can Bypass MFA
Okta finds infostealer logs contain thousands of replayable AI session tokens and API keys, letting criminals bypass MFA and access services from Google, Anthropic and OpenAI.
Okta analyzed a 7 GB infostealer dump from August 2, 2026 covering 5,871 infected machines in 162 countries and found 555 of 44,791 JWTs related to AI services, plus 1,843 unexpired JWTs and JWEs (largely set by OpenAI via NextAuth.js) and 24 still-valid API keys for Google Gemini, OpenAI, Groq and OpenRouter. Valid session tokens and API keys can be replayed with anti-detect browsers like Camoufox to bypass credential and MFA checks, fueling an underground market for AI account access known as LLMjacking, where attackers rack up victims' AI compute bills. Some 17.7% of the JWTs contained plaintext PII usable for social engineering. Google's GTIG reported growing buyer demand for Claude, Gemini, Cursor and Devin credentials, and Mandiant handled an incident where an actor used an exposed GitHub PAT to deploy unauthorized AI infrastructure and scale high-performance compute.
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AI models' written reasoning steps correspond to distinct internal patterns, a new study finds
KAIST and Naver AI Lab researchers show LLM reasoning steps like extraction and computation map to distinct activation patterns, strongest in middle layers.
Researchers at KAIST and Naver AI Lab defined eight recurring reasoning operations, including extraction, decomposition, formula recall, deduction, and computation, and showed they correspond to separable activation patterns in Qwen2.5-7B, Qwen3-8B, and Gemma4-31B on math tasks, with GPT-5 labeling solution segments. The separation peaks in middle layers, holds even when a computation step produces a wrong answer, and goes beyond surface-level token choice. Findings replicated on Llama-3-8B, and classifiers trained on Qwen3-8B transferred to GPQA-Diamond and MATH-500. The authors note that using internal states for error detection or mid-generation steering remains future work.
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Wordfence Argus Finds Complex 6 Step Critical RCE in Avada Theme with 1 Million Sales
Wordfence's AI-assisted Argus found a six-step critical RCE chain in the Avada WordPress theme, which has more than one million sales.
Wordfence reports that its Argus research uncovered a complex six-step exploit chain yielding critical remote code execution in the Avada WordPress theme, one of the best-selling themes with over one million sales. The company also notes AI-assisted submissions to its bug bounty program grew from 16% to roughly two-thirds of all reports in recent months. Sites running Avada should apply the patched release.
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Top 10 Best Kubernetes Security Tools in 2026
Top 10 Kubernetes security tools roundup highlights Sysdig and Aqua as specialists plus strong free options Kubescape, Calico, and Falco.
A buying guide ranks ten Kubernetes security tools across admission control, network policy, runtime detection, and posture management. Sysdig leads runtime depth, Aqua leads full lifecycle, Red Hat ACS owns OpenShift estates, and Wiz offers agentless graph correlation. The guide notes this category has cloud security's strongest open-source floor with Kubescape, Calico, and Falco.
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Introducing the CyberAgents Exchange AI Inspector: Rigorous review for community-built AI
Tenable and OpenAI launch the CyberAgents Exchange AI Inspector to security-review community-submitted AI agents, MCP servers, and skills using GPT Cyber models.
Tenable and OpenAI announced the CyberAgents Exchange AI Inspector, unveiled at OpenAI's "Intelligence at Work: Cyber Summit," to vet community-submitted AI agents, skills, MCP servers, and multi-agent playbooks in the CyberAgents Exchange registry. The process combines Tenable One AI Exposure scanning, OpenAI GPT Cyber model assessment, and human review, with reviews anchored to specific Git commits. The registry launched in August and hosts over 100 AI listings; the Inspector is expected to be available in September and has already detected prompt injection implemented via invisible Unicode tag characters in a SKILL.md file.
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Release Notes: Faster TI Investigations, Fresh Threat Research, and 650+ Threat Coverage Updates
ANY.RUN August release adds TI Lookup connections view, 81 behavior signatures, 16 YARA rules, 559 Suricata rules, and three new threat intelligence reports.
ANY.RUN released August product updates expanding its Threat Intelligence Lookup with a Connections block for pivoting between related observables (domains, IPs, URLs), JSON export for retrohunting and SIEM/NDR integration, and hidden whitelisted data by default. Detection coverage grew with 81 new behavior signatures, 16 YARA rules, and 559 Suricata rules covering malware execution, phishing, and C2 traffic. Three new Threat Intelligence Reports cover a US-focused RMM phishing campaign across 46 countries, the Mirage2FA phishing-as-a-service targeting Microsoft 365 (1,249 sandbox sessions, 9,332 potential compromise events), and a threat brief on OVERLORD RAT, CRPX0, and TRIBACK loader.
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From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good
Paper proposes a rupture test and RISE AI architecture for evidence-bounded responsible-AI claims, framed via EU AI Act and NIST AI RMF.
The paper argues AI deployment intervenes in pre-existing institutional failures of responsiveness, belonging, care, and accountability, and must therefore evaluate both the system and the institutional rupture it enters. It reviews how the EU AI Act, NIST AI RMF, and ISO/IEC 42001 translate principles into protocols, and draws on Pope Leo XIV's Magnifica Humanitas to develop a rupture test linking institutional baselines to system evaluation. It distinguishes evidence-bounded deployment from measurement-bounded governance and introduces RISE AI, an architecture for bounded claims about Responsibility, Inclusivity, Safety, and Empowerment.
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Apple Updates Everything, (Mon, Sep 14th)
Apple patched a record 261 vulnerabilities across iOS 27, macOS Golden Gate 27, watchOS 27, and other platforms, with none flagged as exploited.
Apple's annual OS update shipped iOS/iPadOS 27, macOS Golden Gate 27, tvOS 27, watchOS 27, and visionOS 27 plus bug-fix releases for the 26 and 15 branches, fixing a record 261 vulnerabilities. Notable issues include multiple kernel flaws allowing root privilege escalation (CVE-2026-43689, CVE-2026-43691, CVE-2026-43698, CVE-2026-43786), remote code execution in CUPS (CVE-2026-43692), kernel memory corruption via malicious NFS servers (CVE-2026-43686, CVE-2026-43687), and WebKit memory corruption from crafted web content (CVE-2026-43715). No vulnerabilities are labeled as actively exploited, and Apple does not assign per-CVE severities. Users report iOS 26.7 being downloaded when iOS 27 is intended, and tools like Little Snitch and BlockBlock need updates before upgrading to macOS 27.
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SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?
SAEScientist-Bench tests whether AI agents can autonomously run SAE interpretability research on Gemma-2-9B-IT; frontier agents trail expert baselines.
The benchmark requires agents to design contrastive probes and navigate the Gemma Scope dictionary of over 131K features in Gemma-2-9B-IT to discover optimal interpretable features, scored against expert-curated references on Neuronpedia via activation rank, concept selectivity, and causal steering. Across 10 agent configurations and 20 tasks, frontier agents demonstrate genuine discovery capability and approach expert levels at separating target concepts from controls, but lag substantially in causal steering and frequently misinterpret experimental measurements. The authors frame this as establishing experimental model understanding as a measurable capability for closed-loop autonomous AI R&D and post-hoc monitoring for recursive self-improvement.
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NERVE Attacks: Breaking AI-Powered Brain-Computer Interfaces
Researchers characterize NERVE, five attack dimensions against AI-powered brain-computer interfaces, and release the EEGle framework uncovering 17 attack instances.
NERVE is a systematic attack class spanning the BCI stack across five orthogonal dimensions: Neuro-mimetic Forgery, Evasion via Desynchronization, Replay-based Hijacking, Vein Tapping, and Embedded Backdoors. The accompanying EEGle framework enables AI-assisted, extensible BCI security analysis and helped uncover 17 novel neuro-specific attack instances, revealing a stealth-effectiveness spectrum unique to BCI backdoor design. The authors show generative AI lowers the barrier to entry for non-expert attackers and release EEGle to the community.
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Postman Passport controls API access without exposing credentials
Postman launches Passport, a secretless API access product keeping real credentials inside customer environments for humans and AI agents.
Postman announced general availability of Passport by Postman, a standalone API security product that keeps real API keys and tokens inside customers' own secret stores and issues inert secret references to developers, machines, and AI agents. It enforces grants down to exact action, host, and path, provides full call attribution and second-level revocation, and mints ephemeral task-scoped identities for agent fleets where sub-agents inherit only subsets of parent permissions. The product targets credential sprawl as AI agents call APIs at roughly 1,000x the rate of humans.
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Who gets to define the rules for AI?
Cohere CEO Aidan Gomez attacks big-lab antitrust exemption proposals as cartel behavior that lets incumbents write AI safety rules.
Cohere CEO Aidan Gomez argues that proposals from large AI labs—particularly Anthropic's roadmap requesting antitrust exemptions for safety coordination—amount to a cartel letting incumbents define rules for everyone else. He draws parallels to the 1975 SEC NRSRO credit-rating designations and the EU's 1985 Motor Vehicle Block Exemption, where safety justifications produced incumbent-protecting market structures. Gomez supports independent review of highly capable AI systems but disputes who writes the standards, who conducts review, and who participates. He also warns AI cyber offense is getting cheaper faster than defenses are improving.
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Top 10 Best Container Security Tools in 2026
2026 roundup ranks Aqua, Sysdig, Prisma Cloud, Wiz, Snyk and CrowdStrike among the ten best container security tools across build-ship-run.
Buyer's guide compares ten container security products by lifecycle fit: Aqua leads full lifecycle, Sysdig leads runtime detection via Falco and eBPF, Wiz offers agentless graph visibility, Snyk covers developer-first shift-left. It notes Trivy and Falco as free production-grade open-source foundations. The guide argues standalone container security is increasingly absorbed into CNAPP platforms from Palo Alto, Wiz and CrowdStrike.
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1Password increases engineering productivity 21% with Codex
OpenAI reports 1Password engineers boosted productivity 21% using Codex to build features and internal tools under strict security policies.
OpenAI published a customer case study stating that 1Password's engineering teams use Codex to rapidly develop new features and internal tools while reaching production readiness. The company attributes a 21% engineering productivity increase to the adoption, noting rigorous security policies were maintained throughout.
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numbat - AI agent observability, (Fri, Sep 4th)
SANS reviews Perplexity's open source numbat, a Go-based tool giving security teams observability, detection rules, and enforcement for AI agents like Claude and Gemini.
Numbat, Perplexity AI's open source observability tool, monitors desktop, CLI, IDE, and gateway AI agents through local hooks, OTLP/HTTP logs, and on-disk session artifacts. It ships detection rules mapped to MITRE ATT&CK (e.g., recon.network_sweep / T1046), supports enforcement mode, and packages investigations with SHA256-verified manifests and timelines. The SANS review positions it as a response to unmanaged AI agent and MCP server sprawl highlighted by the OpenAI/Hugging Face incident.
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IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier
IB2 protocol scores enterprise AI systems by serving route with reliability-inclusive scoring; serving-arm choice moved one score from 77.38 to 82.54.
The protocol has three parts: a gold-blind capability-binding preflight verifying a route can execute the evaluation contract, a reliability-inclusive first-pass scoring rule, and structurally score-blind adjudication. Its reference instantiation uses 128 locked tasks and 987 assertions over document, spreadsheet, chart, tool, and database work, released as procedure and schemas rather than an exposed corpus. Across eleven systems, two complete runs on identical weights later failed distinct binding-gate predicates, four of seven suites saturate within a six-system band driven by governed database work and multi-tab joins, and excluding failed responses from denominators changes the point ordering. Serving-arm choice shifted one declared revision and precision from 77.38 to 82.54, though arms differed in access mode, harness generation, and the tool-call parser.
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Hackers Hijack HBO Max Reddit Account to Push 108 ClickFix Malware Ads
Hijacked verified HBO Max Reddit account ran 108 ClickFix malvertising ads delivering AMOS infostealers, Windows loaders, and crypto clipboard hijackers.
HudsonRock and ADAMnetworks identified a cross-platform ClickFix operation dubbed PasteSwitch that abused the compromised verified Reddit account u/hbomax to publish 108 malicious ads over 48 hours, using domains like hbomaxx[.]us and codex-craft[.]com. macOS victims run curl/zsh commands delivering AMOS-related stealers and fake wallets, while Windows users get an InstallFix route using mshta and PowerShell that loads Amatera in memory and disables AMSI. The operation's AnimateClipper and ZigClipper families hijack clipboards to swap cryptocurrency addresses, with C2 domains rotated via Binance Smart Chain contracts. Reddit paused the ads and is investigating.
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