Anthropic reports ShinyHunters, Midnight Blizzard, and GTG-10007 misused Claude to automate credential theft, malware operations, and espionage against dozens of victims.
Anthropic's threat report details how ShinyHunters member 'frkoo' ran a credential-harvesting pipeline on ten AWS EC2 workers that mass-downloaded and decompiled 1.8 million Android APKs, scanning for hardcoded secrets with TruffleHog. In one AI-assisted operation, an actor extracted 2,100+ Azure AD authentication tokens across more than 40 Microsoft tenants in roughly 34 hours, and ShinyHunters affiliates also stole AI API keys and breached a SaaS provider affecting about 200 downstream customers. Russian espionage group Midnight Blizzard used Claude Code skills to automate malware development, phishing, C2, and exfiltration against 20+ government and defense entities, rebuilding malware automatically when detected. Chinese-linked GTG-10007 ran autonomous vulnerability research that uncovered zero-days in a major endpoint security product and hit roughly 50 organizations with confirmed compromises; Anthropic disrupted the abuse and banned the accounts.
New open-source project Litelm launched on GitHub as a leaner alternative to the LiteLLM multi-provider LLM gateway.
Litelm is a community-published GitHub project positioned as a stripped-down alternative to LiteLLM, a widely used gateway/SDK for routing requests to multiple LLM providers. The post drew modest attention on Hacker News with 45 points and 17 comments. The listing provides no further technical details, benchmarks, or feature specifics.
github-to-sqlite 2.9.1 fixes compatibility with sqlite-utils 4.x in issue #85; no security changes are mentioned.
github-to-sqlite 2.9.1 is a small maintenance release of the tool that imports GitHub data into SQLite databases. Its only documented change is a fix for compatibility with sqlite-utils 4.x, tracked as issue #85. No security fixes are included.
A study finds LLM-synthesized CodeQL queries improve average F1-score by 82% over baseline queries, offering scalable vulnerability detection versus direct LLM scanning.
Researchers conducted an empirical study evaluating whether LLMs can synthesize executable CodeQL queries from National Vulnerability Database vulnerability data. LLM-generated queries significantly enhanced baseline CodeQL suites, yielding an 82% improvement in average F1-score across a diverse set of real-world vulnerabilities. A cost-benefit analysis shows direct LLM-based scanning of entire repositories is often computationally and financially prohibitive, while LLM query synthesis offers a scalable and cost-effective alternative for large-scale vulnerability detection.
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.
Check Point found a ChatGPT flaw letting attackers read victims' Gmail and connected-app data via hidden cross-session instructions; OpenAI patched it.
Check Point Research discovered a covert cross-account command channel in ChatGPT's code execution environment, where containers meant to be isolated shared metadata through an internal service based on JFrog Artifactory. In a proof of concept, a victim's session was tricked into retrieving Gmail email data and relaying it to an attacker-controlled session during an ordinary-looking interaction, with reach extending to any connected apps the session was authorized for, including Google Drive, Microsoft Teams, and GitHub. OpenAI fixed the issue and decommissioned the internal service; the same shared infrastructure was also involved in the separately disclosed Hugging Face compromise, though via different techniques.
SecurityWeek opinion piece proposes ORKS, an open standard adding issuer prefixes, discovery files, and unauthenticated revocation endpoints to make leaked API keys quickly revocable.
The article argues that plain API keys leak frequently yet lack any standardized revocation mechanism, unlike OAuth tokens which gained RFC 7009 revocation in 2013, and that GitHub's Secret Scanning Partner Program solves this only in a proprietary, invite-only way. The author proposes ORKS (Open Revocable Key Standard), with a draft spec on GitHub, built on four parts: keys embedding their issuer domain in a fixed prefix format, a discoverable /.well-known/api-key-config JSON file, unauthenticated revocation by possession of the full key, and declared constraints such as IP allowlists, expiry, scopes, and mTLS. An optional quarantine mode inspired by Toyota's andon cord restricts a reported key to read-only and throttled operation for a default 24-hour window before automatic revocation. The piece frames AI agents as making this urgent, since agents hold many credentials, can exfiltrate them via prompt injection, and can leak secrets into logs at machine speed.
Developer releases I-have-ADHD, an open-source skill that stops coding agents from burying direct answers under verbose output.
A GitHub project titled I-have-ADHD packages a 'skill' intended to make AI coding agents answer directly instead of hiding the answer inside lengthy output. It gained traction on Hacker News with 45 points and 42 comments. It targets prompt/agent configuration rather than introducing a new model or infrastructure component.
VEX-Bench is the first benchmark evaluating LLM agents on assessing whether upstream dependency vulnerabilities are exploitable in downstream projects, with 75 real-world expert-labeled cases across Python, Java, and Go mined from GitHub. Nine models across three agent harnesses were evaluated; GPT-5.5 and Claude Opus 4.6 reach approximately 80% F1 on binary vulnerability-status classification, but only GPT-5.5 surpasses 70% macro-F1 on fine-grained justification classification. The gap highlights the difficulty of moving beyond binary exploitability calls to explaining exploitability reasons, unlike prior benchmarks targeting zero-day settings.
GitHub's Project HydraFusion research preview builds per-task multi-model workflows (Single, Cascade, Critique) in Copilot CLI, reporting +4.9 quality at 67% lower cost on TerminalBench 2.1.
Project HydraFusion is a research preview available on all GitHub Copilot plans inside Copilot CLI that treats model routing as workflow selection, choosing among Single, Cascade (draft plus quality gate), and Critique (cross-family reviewer) execution patterns per request. Against Claude Opus 5 baselines at medium reasoning, fixed HydraFusion policies cut estimated cost 67% while adding 4.9 quality points on TerminalBench 2.1, and cut cost 36% and 65% with slight quality dips on DeepSWE and CheckpointBench. Billing is per token at each underlying model's standard rate; there are no open weights or self-hosting options.
Study of 167 Java CVE instances finds CodeQL false positives follow recurring patterns; query refinements remove 81.8% of reviewed ones.
Researchers ran CodeQL's Java security query suite on 167 CVE instances from 110 projects, manually reviewing 500 sampled false-positive paths and building a five-category taxonomy led by Missed Path Constraint or Sanitization (36.6%), Benign Execution Context (29.4%), and Missing Trust Boundary Modeling (27.6%). Guided by the taxonomy, query-level refinements removed 81.8% of reviewed false positives and 15.8% of reported paths across the selected queries while retaining 7 of 8 true positives. To address generalization, agentic coding tools given the refinement patterns as templates adapted them to new projects successfully in 56% and 62% of tasks, versus 28% without guidance.
GitGuardian found the Shai-Hulud infostealer worm now scans 469 credential locations, including CI/CD and AI tool configs, expanding supply-chain risk.
GitGuardian researchers found that a recent Shai-Hulud worm variant scans for credentials across 469 locations in developer environments, CI/CD tooling, cloud configurations, and AI tool configs, up from 189 paths in earlier variants. The worm reuses stolen credentials to pivot from developer workstations to source code, cloud infrastructure, and package publishing channels, turning credential theft into forward-propagating supply chain attacks. The analysis urges defenders to prioritize removing long-lived package publishing tokens in favor of short-lived OIDC-based trusted publishing, citing recent Docker and GitHub Actions improvements.
GitHub's Dependabot lead shares five production lessons for ingesting community malware intelligence feeds across eight package ecosystems at scale.
GitHub's Dependabot team monitors over 30 million repositories and extended malicious-package advisories from npm to eight package ecosystems by ingesting OpenSSF's malicious-packages intelligence. The team catalogued roughly 18 new malicious npm packages per day in the year ending May 2026. The write-up argues that provenance with batch reverts, fingerprinting to catch echo-chamber duplicates, and heavyweight normalization are the make-or-break engineering for feed ingestion. It also recommends automated publishing with import caps and anomaly flagging, and quarantining malformed records rather than silently repairing them.
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.
Kaspersky reports Iran-linked Mirage Kitten delivers new NodeRabbit and PollCat malware to fintech and aviation targets via fake LinkedIn coding assessments.
Kaspersky researchers documented two previously undocumented Node.js malware families, NodeRabbit and PollCat, attributed with high confidence to Iran-linked APT group Mirage Kitten. The malware is delivered via fake recruiter personas on LinkedIn offering coding assessments hosted on Amazon S3, with instructions banning AI assistants so AI code-review tools would not flag the trojanized npm packages. NodeRabbit is cross-platform (Windows, Linux, macOS), uses AES-256-GCM-encrypted C2 on Azure, includes sandbox checks, and one variant installs a fake 'GitHub Copilot Helper' VS Code extension plus Git hook persistence. Victims identified so far are in fintech and aviation organizations across Egypt, Ethiopia, and Afghanistan.
Guildma (Astaroth) malware spread via geofenced Brazilian Portuguese phishing emails, using zip archives, shortcuts, and AutoIt loaders.
SANS researchers documented a Guildma (Astaroth) malware infection initiated on 2026-08-31 by a malicious Brazilian Portuguese email offering a DocuSign-themed PDF. The delivery link is geofenced to Brazil and requires Brazilian Portuguese browser and OS language settings, otherwise serving a legitimate installer. The infection chain uses a zip archive containing a Windows shortcut that retrieves a DLL saved as an alternate data stream, which installs a compiled AutoIt package for persistence. Unique SHA-256 indicators and HTTPS traffic to Azure-hosted and .cfd domains were observed, with prior reports noting the campaign's abuse of GitHub.
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.
GitHub profiles OpenClaw, its fastest-growing project ever, as maintainers including Peter Steinberger discuss building and securing it.
The GitHub Blog profiled OpenClaw, described as the fastest-growing project in GitHub history, roughly six months after it went viral. Maintainers including Peter Steinberger discuss lessons learned while building and securing the project during rapid growth. The piece focuses on open-source maintenance and security practices for a widely adopted project.
AFP and FBI arrested two alleged TeamPCP hackers behind open-source supply chain attacks that stole 500,000+ credentials from 1,000+ organizations.
Australian Federal Police, working with the FBI and Western Australia Police, arrested a 21-year-old from Cottesloe and a 23-year-old from Mandurah on August 26, 2026, over alleged membership in the TeamPCP cybercrime group. The group allegedly planted malicious code in open-source packages, harvesting credentials, authentication tokens and at least 300 GB of data from over 1,000 organizations, with remediation costs estimated in the hundreds of millions of dollars. TeamPCP has been linked to supply chain attacks on GitHub, Telnyx, LiteLLM, Aqua Trivy, Checkmarx KICS, TanStack, MistralAI and Red Hat using a cloned self-replicating worm dubbed Shai-Hulud. Researchers note TeamPCP cloned the Shai-Hulud worm but was not behind the original 2025 attacks.
McAfee says WeedHack infostealer MaaS still spreads via ten fake Minecraft client sites and SEO poisoning despite C2 takedown, with 116,464 infections logged.
McAfee Labs' follow-up on the WeedHack Malware-as-a-Service operation, first documented in June 2026, found ten active fake Minecraft client sites and multiple file-hosting accounts still distributing the infostealer even after its C2 server went dark; over 6,300 user attempts were blocked in the past month. The campaign, running since January with 116,464 infected systems and 2,000-3,000 daily new victims, offered a free Discord-gated tier and a $5/month premium tier with webcam surveillance, and stole session cookies, passwords, browser data, and cryptocurrency wallets. Distribution relies on SEO poisoning that ranked fake sites such as nova-client.com above genuine GitHub repositories, with most malicious links coming via Discord (49.6%) and MediaFire (23.4%), and one fake site built with the AI website builder lovable.app.
Matt Pocock released the /wayfinder skill, an orchestrator layer that manages planning sessions, maps, and tickets for AFK coding agents.
Latent Space interviews Matt Pocock, whose AI Skills for Real Engineers project has 220,000+ GitHub stars, about his new /wayfinder skill. The skill manages agent context during ambiguous planning by splitting work into grilling, prototype, research, and task tickets organized under a shared map, enabling overnight AFK agent runs. It uses deliberate terminology like map, ticket, and session to steer agent behavior, and was tested on projects including a personal website rearchitecture.
Over 50,000 Stripe merchant API keys leaked via public code and logs; 659 merchant accounts' data offered on trading forum.
Ransomnews researchers identified over 50,000 unique Stripe merchant API keys exposed in public GitHub repositories, GitHub Actions logs, and misconfigured web servers. A dataset on a data-trading forum dated August 18, 2026 contained live keys for 659 merchant accounts plus roughly 35 GB of customer and payment data. Researchers demonstrated a leaked key enabled accessing customer lists, creating fraudulent payment links, and making test charges within 17 hours. Stripe itself was not compromised; over 3,000 misconfigured web servers revealed Stripe-related strings, with about 12% containing working keys.
Wiz's AI agent uncovered a critical flaw in Snowflake's GitHub Actions workflow that GitHub Advanced Security scans had missed.
A Wiz researcher, using the company's AI security agent, discovered a critical security flaw in Snowflake's GitHub Actions workflow. The flaw had been missed by a GitHub Advanced Security scan, highlighting gaps in automated coverage for CI/CD pipelines. No CVE identifier or evidence of active exploitation was provided in the report.
Wiz disclosed a GitHub Actions workflow injection in Snowflake's snowflake-connector-net repo that exposed Jira API tokens; Snowflake patched the flaw.
Wiz disclosed a workflow injection flaw in Snowflake's snowflake-connector-net repository, where attacker-controlled GitHub issue fields were expanded directly into a shell run block. Wiz's Red Agent exploited it during authorized security testing, received an out-of-band runner callback and retrieved a Jira API token with read access to engineering, security compliance and bug bounty projects. Snowflake merged a fix on June 23, 2026, rotated the token and said its investigation found no evidence of unauthorized access. No CVE, CVSS score or KEV entry has been assigned for the issue.
Wiz's autonomous Red Agent found and exploited a GitHub Actions injection in a Copilot-assisted PR, reaching Snowflake's internal Jira without human help.
Wiz's Red Agent autonomously discovered a GitHub Actions injection flaw in a GitHub Copilot-assisted pull request, five days after the flaw went live. It exploited the flaw to validate access to sensitive data in Snowflake's internal Jira, bypassing detection by GitHub Advanced Security, and assessed the blast radius without human intervention. The exercise demonstrates agentic AI performing end-to-end offensive security operations against production systems.
Weekly digest: exploited Metabase zero-day breached Framework; Salesforce/ServiceNow portals read for 17 months; Microsoft patched 400+ flaws.
Help Net Security's week in review aggregates top stories: a 'City-Forum' campaign tracked by Reco has been pulling records from Salesforce and ServiceNow portals worldwide for 17 months, and Framework suffered a breach via an exploited Metabase zero-day exposing customer contact and IP data. It also covers Microsoft's August 2026 Patch Tuesday fixing 400+ flaws including exploited zero-day CVE-2026-68820, Cisco's fix for exploited firewall DoS bug CVE-2026-20349 (added to CISA KEV), and a second N-able N-central hotfix for actively exploited CVE-2026-18577. Other items include GitHub expanding Dependabot malware alerts to eight package ecosystems and EU AI Act enforcement beginning on 2 August 2026.
GitHub's Secure Open Source Fund Session 4 improved security across 50 open source projects using AI-assisted workflows, tooling, and funding.
GitHub reported outcomes from Session 4 of its Secure Open Source Fund, which covered 50 open source projects. Participating maintainers combined AI-assisted workflows, GitHub security tools, expert guidance, and direct funding to improve project security. The post frames lessons about securing open source maintenance in the AI era; no specific vulnerabilities or incidents are named in the announcement.
Wiz CIRT published an investigation playbook for GitHub PAT compromise after responding to a coordinated multi-organization campaign.
Wiz's Computer Incident Response Team shared lessons from its response to a coordinated campaign compromising GitHub personal access tokens across multiple organizations. The post provides a practical playbook covering detection, scoping, and investigation steps for token compromise. Specific victim names, affected counts, and attribution are not provided in the announcement.
ChainDrop, a Mini Shai-Hulud variant tied to TeamPCP, worms through npm via a compromised maintainer account and anchors C2 in an Ethereum smart contract.
On August 4, 2026, the self-propagating ChainDrop worm entered the npm ecosystem through a compromised maintainer account, poisoning packages including keyv, cacheable, and flat-cache. ChainDrop is a variant of Mini Shai-Hulud linked to the actor TeamPCP. It anchors its C2 infrastructure in an Ethereum smart contract, allowing domain rotation with a single blockchain transaction and defeating domain-based blocklists. The compromised keyv maintainer's GitHub account caused the project's own GitHub Actions release pipeline to publish malicious package versions.
Unauthenticated Remote DoS in Cisco ASA/FTD SSL VPN Service
CVE-2026-20349 is a vulnerability in the Remote Access SSL VPN service of Cisco Secure Firewall Adaptive Security Appliance (ASA) and Threat Defense (FTD) software, caused by insufficient error checking when processing HTTP requests. An unauthenticated, remote attacker can trigger it by sending a crafted HTTP request to the SSL VPN service on an affected device. A successful exploit causes the device to reload unexpectedly, resulting in a denial-of-service condition; no credentials or user interaction are required, and confidentiality and integrity are not affected. Any organization running ASA or FTD software with the Remote Access SSL VPN service enabled is affected, especially devices whose VPN interface is reachable from the internet. The flaw was added to CISA's Known Exploited Vulnerabilities catalog on 2026-08-11 and is reported as exploited in the wild, though no public proof-of-concept is known.
Authentication Bypass and Account Takeover in N-able N-central (Incomplete Patch)
CVE-2026-18577 is an authentication bypass (CWE-288) in N-able's N-central RMM platform caused by an incomplete patch for the earlier vulnerability CVE-2026-18556. Because the original fix can be bypassed via an alternate path or channel, a remote, unauthenticated attacker needs no privileges or user interaction, though the attack requires meeting exploit-specific conditions (high attack complexity, CVSS 4.0: 8.2 High). Successful exploitation lets the attacker bypass authentication and take over N-central accounts, gaining high-impact access to the management console with limited direct effects on downstream services. All N-central versions through 2026.3.1 are affected. Exploitation is confirmed in the wild: the flaw was added to CISA's KEV on 2026-08-03, EPSS estimates a 54.1% chance of exploitation within 30 days (99th percentile), and news reports say attackers kept exploiting it even as N-able shipped successive hotfixes; ransomware use is currently unknown.
· N-able N-central all versions through 2026.3.1 (incomplete patch for CVE-2026-18556) KEVmoderate
Use-After-Free Local Privilege Escalation in Microsoft Windows WinSock AFD Driver
CVE-2026-68820 is a use-after-free (CWE-416) in the Windows Ancillary Function Driver for WinSock (afd.sys), the kernel component that handles Winsock socket operations. A local, authenticated attacker can trigger the memory corruption through crafted socket activity, and the high attack-complexity score (AV:L/AC:H/PR:L) indicates exploitation requires a specific, likely race-sensitive sequence of operations. Successful exploitation elevates privileges to SYSTEM, giving the attacker full control of the host, and public reporting describes deployment of a backdoor after privilege escalation. Virtually every Windows 10, Windows 11, and Windows Server (2012-2022) installation ships this driver, so the affected population is essentially the entire supported Windows installed base. The flaw is being exploited in the wild: CISA added it to the KEV on 2026-08-11, Microsoft fixed it in the August 2026 Patch Tuesday release, and reporting ties active exploitation to North Korea's Lazarus group, who paired the zero-day with fake job-offer lures.
· Microsoft Windows Ancillary Function Driver for WinSock (afd.sys) as shipped with the Windows versions listed below · Microsoft Windows 10 1607, 1809, 21H2, 22H2 KEVmass
Command injection RCE in Hermes Agent via malicious .git/config
Hermes Agent versions 0.18.2 through 0.21.0 contain an OS command injection flaw (CWE-78) in which the agent's git operations honor the core.fsmonitor setting in a repository's .git/config, letting that setting specify an attacker-controlled command. The attack is triggered when a user opens a crafted repository and sends any message, at which point the agent runs a git status index refresh that executes the injected command in the user's process context. A successful attacker gains arbitrary OS command execution with access to the user's full environment, including configured AI provider API keys, which can be exfiltrated. Anyone running an affected Hermes Agent version who opens untrusted or attacker-supplied repositories is exposed; the attack requires user interaction but no privileges or authentication on the target. No public proof-of-concept, KEV listing, or confirmed in-the-wild exploitation is currently known, and EPSS estimates roughly a 0.9% probability of exploitation within 30 days.
· Hermes Agent 0.18.2 through 0.21.0 (fixed in commit f6234d0)
Claude Code is an agentic coding tool. From 2.1.38 until 2.1.163, Claude Code's worktree handling allowed creation of worktrees named ".git" and navigation to worktrees outside the sandbox context, enabling git directory confusion attacks. By exploiting symlink manipulation and git fsmonitor execution during worktree operations, an attacker could overwrite files in the user's home directory (such as .zshenv), leading to code execution outside of seatbelt sandbox restrictions. Reliably exploiting this required the user to clone a malicious repository containing prompt injection content and run…
Unsandboxed attacker code execution in OpenAI Codex via malicious Git core.fsmonitor
OpenAI Codex CLI and Codex Desktop automatically collect Git repository metadata without disabling the repository-local core.fsmonitor setting, so Git can execute the filesystem-monitor helper named in a repository's .git/config while Codex gathers that metadata. The flaw is triggered when a user opens or works in a repository prepared by an attacker and delivered with its .git/config intact, such as a copied folder or archive, because an ordinary Git clone does not preserve the source repository's local config. The attacker-supplied helper runs outside Codex's command sandbox and without any user-approval prompt, giving the attacker code execution with the user's privileges, including the ability to read, modify, or delete the user's files and access other resources available to that account. Anyone running Codex CLI on Windows, macOS, or Linux or Codex Desktop on Windows or macOS who opens untrusted repositories is exposed, and related reporting indicates the same malicious .git/config pattern also affects other AI coding agents such as Claude and Cursor, although this CVE is scoped to Codex. No exploitation is currently known: there is no public proof-of-concept, EPSS is a low 0.1%, the issue is not in CISA KEV, and it was disclosed through Pwn2Own as ZDI-26-650.
· OpenAI Codex CLI (Windows, macOS, and Linux) · OpenAI Codex Desktop (Windows and macOS)large
goose is general-purpose AI agent that runs on your machine.
goose is general-purpose AI agent that runs on your machine. Prior to 1.44.0, the `goose review` command runs the system `git` executable to gather the diff for review without stripping attacker-controlled Git configuration. A malicious repository whose `.git/config` sets [`core] fsmonitor = ` causes Git to execute that command on the host during the index refresh performed by `git diff HEAD`. The command runs before goose contacts a model and without a submitted prompt, model call, tool approval, or trust prompt. The context-gathering Git process is not sandboxed and is outside goose's…
Claude Code is an agentic coding tool. In versions prior to 2.1.75 on Windows, Claude Code loaded the system-wide default configuration from C:\ProgramData\ClaudeCode\managed-settings.json without validating directory ownership or access permissions. Because the ProgramData directory is writable by non-administrative users by default and the ClaudeCode subdirectory was not pre-created or access-restricted, a low-privileged local user could create this directory and place a malicious configuration file that would be automatically loaded for any user launching Claude Code on the same machine.…
Entities are extracted by the model from each article. Watching an entity keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.