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.
Gen Digital found infostealers like Amatera and Remus stealing AI coding agent tokens, prompt histories, and MCP configs from infected Windows and macOS machines.
Gen Digital analysts observed Amatera and Remus detections among tens of thousands of protected Windows users over three months, with Amatera targeting Cline and Continue data and Remus targeting Claude, Cursor, and OpenCode. CallbackBeaver added Cursor and Claude to its collection scope with more than 5,000 samples in 30 days, while macOS-focused Djinn Stealer has been associated with Claude, Codex, Gemini, Cline, OpenCode, and Kilo. The stealers harvest access and refresh tokens, prompt histories, and MCP configuration files that can expose source control, ticketing, databases, cloud resources, and sensitive project context for follow-on fraud. Many stealers add targets via remotely managed rules, meaning this is an adaptation of existing infostealers rather than a new vulnerability in the AI tools themselves.
Gen Digital researchers report infostealer families Amatera, Remus and CallbackBeaver now harvest Claude, Cursor and Codex agent data, including tokens and MCP configs.
Gen Digital researchers found commodity infostealers extending their collection rules to local AI coding agent data from Claude, Cursor, Codex, Cline, Continue and OpenCode on Windows and macOS. Amatera targets Cline and Continue, Remus targets Claude, Cursor and OpenCode, and CallbackBeaver added Claude and Cursor with more than 5,000 samples observed in 30 days; Djinn Stealer hits Claude, Codex, Gemini, Cline, OpenCode and Kilo on macOS. Stolen data includes access and refresh tokens, prompt histories, conversation databases and MCP configurations holding API keys, potentially exposing connected source-control, cloud and ticketing systems. Remus is assessed as a Lumma Stealer variant using EtherHiding C2 resolution via Ethereum smart contracts.
Infostealer malware is stealing Claude login sessions, letting attackers mint OAuth tokens and burn subscribers' paid usage largely undetected.
Anthropic confirmed a bad actor used common infostealer malware to steal Claude login sessions from users' computers and consume their paid usage. A UK consultant saw idle token usage climb, and Anthropic suspended his account, invalidated sessions and Claude Code tokens, and issued a £44.49 partial refund on his $200-per-month plan. Multiple other users on Reddit and GitHub reported similar theft; Anthropic signed out affected users and issued refunds, but still lacks itemized usage reporting to help users detect misuse.
Latent Space launches an AEO tracker scoring 7 frontier models' product recommendations across 161 categories, revealing generational bias flips.
Latent Space built a tracker measuring Answer Engine Optimization by running 6 prompt variations across 7 frontier models with search enabled over 161 product categories, scoring first choices, alternatives, mentions, and anti-recommendations. It found 28 categories with a universally dominant primary choice and observed soft biases, such as models favoring their own lab's coding agents. Analysis of Anthropic's Sol→Astra and Opus→Fable generations showed newer models consulting fewer sources and being less likely to change answers when questions are paraphrased.
Check Point weekly bulletin: exploited SonicWall SMA 1000 zero-days (CVE-2026-83548/49), JFrog Artifactory auth bypass, and a 2.8M-patient Baylor Genetics breach.
Check Point's weekly bulletin covers breaches including Thomson Reuters' C-Track platform (court records across 11 US states and Canada), Baylor Genetics (2.8M patients and employees, SSNs included), Hit casinos in Slovenia, and Dropbox (~5,000 accounts via abused Lenovo email verification). SonicWall patched two exploited SMA 1000 zero-days, including CVE-2026-83548, a CVSS 10.0 pre-authentication SSRF, while JFrog fixed exploited authentication bypass CVE-2026-82329 (CVSS 9.8). Malware and actor coverage includes Gambling Goblin, JSCeal, Mirage Kitten's NodeRabbit/PollCat campaign, and DPRK Contagious Interview macOS activity, plus a FalconFlank privilege-escalation PoC against CrowdStrike Falcon.
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.
HOL Guard is an open-source local guardrail that pauses AI coding agents before risky actions like secret access and prompt injection.
HOL Guard sits between AI coding agents (Claude Code, Cursor, Codex, Gemini CLI and others) and the host machine, intercepting risky commands before execution with checks taking under 50 milliseconds and running fully offline. It offers four sensitivity modes — Gentle, Balanced (default), Strict, and Paranoid — and parses command structure, environment, sensitive-path access and network destinations to decide when to interrupt. The core runtime is free and open source on GitHub, with 552,000 downloads reported; the vendor says it has no telemetry on adoption because collection is off by default.
Aurora ransomware operators used Cursor AI running Claude Sonnet to plan and execute intrusions against dozens of organizations in nine countries.
CloudSEK and Gambit Security analyzed exposed infrastructure tied to the Russian-speaking Aurora (Aur0ra) group, revealing months of activity against more than 20 organizations across nine countries between April and July 2026, with 33 victims listed by Ransomware.Live. The operator used the Cursor agentic coding assistant to plan attacks in Russian, including an AD CS exploitation plan, and Gambit observed Cursor Agent (running Anthropic's Claude Sonnet) performing hands-on exploitation tasks such as Nmap scanning, NetExec enumeration, NTLM relay, and certificate attacks against 10 targets. Attacks begin with email bombing plus IT help desk vishing via Xray-core, followed by SMB/LDAP/WinRM/RDP lateral movement, log clearing, Defender disabling, and exfiltration; the Windows and Linux/ESXi encryptors are built from a single Zig codebase, with shadow copy deletion and VM-killing before encryption.
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.
OpenAI is winding down its contract supplying models to Cursor after Cursor's acquisition by SpaceX.
OpenAI announced it will wind down the contract that provides OpenAI models to the Cursor coding tool. The decision follows Cursor's acquisition by SpaceX. Developers relying on OpenAI models inside Cursor will need alternatives as the contract ends.
Andrew Ng relaunches DeepLearning.AI around AI Engineering, defining four core skills from an analysis of 10,000+ job postings and expert interviews.
Andrew Ng, cofounder of Google Brain and Coursera, relaunched DeepLearning.AI with a focus on AI Engineering, basing the curriculum direction on an analysis of over 10,000 job postings plus interviews and surveys. He identifies four key skills: building and deploying AI applications, software engineering fundamentals, effective use of coding agents, and shaping the build with product sense. The Latent Space AI News issue also recaps agent ecosystem developments, including NVIDIA's 'Skill Lift' evaluation proposal showing skill scan scores correlate only weakly (Spearman rho = 0.14) with judged quality, and Konwinski's open-source persistent-agent 'microharness' Headlong, which achieved an unattended self-debugging repair in 48 minutes.
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.
ASSET Research Group's GhostSplice technique splits malicious instructions across MCP channels, tricking AI coding agents into exfiltrating SSH keys, source code, and secrets.
ASSET Research Group disclosed GhostSplice, a prompt-injection technique in which a malicious Model Context Protocol (MCP) server splits an exfiltration instruction across a tool description and a tool result so no single fragment appears harmful. In the reference implementation, a benign-looking integrity_checker tool with fields alpha through delta is later paired with a project-scan result mapping those fields to .ssh/id_rsa, proprietary source, customers.csv, and .env. Tests across eleven API-tested models showed average compliance rising from 42% to 82% when instructions were split in two, with GPT-4o, Gemini 2.0 Flash, and Llama 3.3 70B going from 0% to 100%. The findings come from controlled lab tests, not a reported real-world intrusion, and no CVE identifiers had been assigned as of August 10, 2026.
Pre-Authentication SSRF in SonicWall SMA1000 Appliance Workplace Interface
CVE-2026-83548 is a critical (CVSS 3.1 score 10.0) server-side request forgery (SSRF) vulnerability in the Workplace interface of SonicWall SMA1000 appliances, caused by an unintended alternate access path (unprotected alternate channel, CWE-441; SSRF, CWE-918). Because it is pre-authentication, any remote unauthenticated attacker who can reach the interface can trigger it and gain unauthorized access to sensitive functionality and perform unauthorized operations. CISA lists all SonicWall SMA1000 appliances as affected, with CPE data naming the SMA 8200v and SMA 6210/7210 firmware; internet-exposed units are at highest risk. The flaw is being actively exploited in the wild: it was added to CISA's Known Exploited Vulnerabilities catalog on 2026-09-02 alongside companion zero-day CVE-2026-83549, which reporting suggests may form an attack chain with this SSRF. Exploitation probability is elevated (EPSS 4.7%, 91st percentile) and no public proof-of-concept is known.
Improper Authentication in JFrog Artifactory Allows Unauthenticated Admin Access
JFrog Artifactory contains an improper authentication flaw (CWE-287) that, under the product's default configuration, can let an unauthenticated attacker with network access obtain administrative privileges. The weakness is reachable over the network with no privileges or user interaction required, which is why it carries a critical 9.8 CVSS 3.1 score; an attacker who succeeds effectively gains full administrator control of the artifact repository, and public reporting describes attackers using the flaw to mint admin tokens days after disclosure. Any organization running JFrog Artifactory is in scope — CISA's entry lists the product without version detail, so deployments should verify their versions against JFrog's advisory (AV26-867, Update 1) — with internet-exposed instances at greatest risk. Exploitation is confirmed in the wild: CISA added the CVE to its Known Exploited Vulnerabilities Catalog on 2026-09-02, a public proof-of-concept is available, and news headlines report active exploitation alongside related Artifactory flaws CVE-2026-42016 and CVE-2026-42018.
Authenticated OS Command Injection RCE in SonicWall SMA1000 Appliance Console
CVE-2026-83549 is a post-authentication OS command injection flaw (CWE-78) in the Appliance Management Console (AMC) of SonicWall SMA1000 appliances. An attacker who authenticates to the AMC with administrator privileges can, under specific conditions, inject arbitrary operating system commands and achieve remote code execution on the appliance. Only organizations running SMA1000-series appliances, including the SMA 6210, SMA 7210, and SMA 8200v models cited in the data, are affected. CISA added the flaw to the KEV catalog on 2026-09-02, and news reports describe active exploitation, possibly chained with companion zero-day CVE-2026-83548, with reverse shells and cryptocurrency miners observed; no public proof-of-concept is known. EPSS assigns an 8.5% probability of exploitation within 30 days (95th percentile).
· SonicWall SMA1000 series appliances - Appliance Management Console (AMC) · SonicWall SMA 6210 (SMA1000 series firmware) KEVmoderate
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.…
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