Google has expanded its Cloud Vulnerability Reward Program (VRP) with a new top-tier reward for high-impact architectural security flaws. Starting this month, researchers can earn $250,000 for Root-in-Cloud bugs, including tenant-isolation bypasses and complex cross-service logic flaws that let attackers gain full administrative control over arbitrary Google Cloud organizations. "To earn this premier reward, you must demonstrate full administrative control, the equivalent of 'roles/owner' or complete IAM control, over arbitrary Google Cloud organizations or projects with no prior access or special project setup," said Chris Betz, Google Cloud's Chief Information Security Officer (CISO). "Additionally, valid vulnerability reports demonstrating remote code execution (RCE) in underlying Google production infrastructure (Borg) or achieving root-in-prod will automatically be evaluated by the Google Cloud VRP panel for root-in-cloud eligibility."
A maximum-severity security flaw impacting Siemens SIMATIC IoT2050 Advanced devices has come under active exploitation, VulnCheck has revealed. The vulnerability, tracked as CVE-2026-58115 (CVSS score: 10.0), is a case of missing authentication for a critical function that could be exploited by an unauthenticated remote attacker to run arbitrary code. "SIMATIC IoT2050 Advanced devices running
Threat actors are attempting to exploit an unpatched maximum-severity security vulnerability in the CryptoPayment Gateway WordPress plugin, according to findings from Defused Cyber. The vulnerability in question is CVE-2026-81648, which carries a CVSS score of 10.0. Successful exploitation of the flaw could permit unauthenticated users to delete arbitrary files on the server and extract
Chinese hackers used ARTEX, an open-source, multi-agent AI penetration-testing framework, in attacks against more than 200 organizations across 14 countries. The operation began on October 17 and targeted government ministries, telecommunications providers, and organizations in the pharmaceutical, semiconductor, defense, nuclear, and financial sectors. The threat actor compromised at least nine organizations and carried out password spraying attacks and credential scanning activity against at least 12 other high-value targets. According to researchers at CrowdStrike, the "campaign marks an escalation in China-nexus use of AI agents, from single intrusions to multiple simultaneous engagements directed by a human operator." Confirmed victims include telecommunications providers in the United States and Belgium, government organizations in Greece, the Middle East, and Latin America, and pharmaceutical firms in the U.S.
VOLTA is an AI-powered infostealer that steals personal data, then uses LLMs to assess victims’ value and rank targets for attackers. Cisco Talos has analyzed a new Windows infostealer called VOLTA, which calls itself VOLTA-AUTODOXER. It steals the usual data, then hands the loot to a large language model that ranks what the victim is worth. Ryan Fetterman laid it out in a Talos report, after the malware turned up through the CAIRN research effort. “There is a new idea in the cybercrime world — cast a wide net, steal everything, and let AI sort out the specifics. A new malware self-named “VOLTA-AUTODOXER,” surfaced through the CAIRN research effort, is a self-deleting Windows infostealer that augments its post-theft workflow with an LLM-powered victim-profiling stage.” reads the report published by Talos. The malware deletes itself after running and does not use servers controlled by the attacker. Instead, it uses third-party systems to carry out its activities. The malicious code supports data-stealing features are advanced. It collects browser passwords, cookies and saved payment card details from Chromium browsers, as well as data from Firefox, Thunderbird and Outlook. It also steals Slack workspace information and login sessions from Discord, Telegram, Steam, Battle.net and Roblox. The malware also collects Microsoft OAuth tokens, SSH keys, cloud service credentials, screenshots and all saved Wi-Fi passwords. For crypto wallets, it tries to crack the wallet password directly on the infected device and saves the results in its report. To steal some browser tokens, it must bypass Chrome’s App-Bound Encryption. But VOLTA goes further. It also builds a detailed profile of the victim. This includes their location and home address, employer and company domain, estimated year of birth, the last four digits of payment cards, Slack workspaces and information about who created documents. It also looks for signs of iPhone backups and checks the current value of the victim’s Roblox account. “After harvesting the standard stealer haul, including browser passwords; cookies; payment cards; cryptocurrency wallet seed phrases; Discord, Telegram, Steam, and Roblox sessions; Microsoft OAuth tokens; SSH and cloud-provider keys; Wi-Fi profiles; and screenshots, VOLTA builds a structured evidence bundle about the person behind the machine.” states the report. It uses the victim’s own logged-in sessions to fill the gaps. It searches Gmail for receipts from Amazon, DoorDash, Uber Eats, Grubhub, Walmart and PayPal to confirm a home address, pulls order histories from Uber Eats and DoorDash, and adds detail to the victim’s Discord profile. Even a takeout history can now count as evidence. The bundle goes to OpenRouter, a routing service for AI models, with a system prompt that tells the model to act as a forensic intelligence analyst drafting a target assessment. “The required output includes a section titled “WHAT THEY’RE WORTH” with valuables ranked by monetization with a low/medium/high tier, and a section on “THEIR OPSEC” containing an assessment of the victim’s security posture and password hygiene.” states the report. “The model is the operator’s triage analyst; it turns a raw credential log into a prioritized and citation-backed dossier of the victim and their monetizable assets.” It also needs a section called “THEIR OPSEC”, rating the victim’s security habits and password hygiene. In short, it’s a performance review for the person it just robbed. The prompt asks for something agents do well: connecting scattered facts. It pushes the model to link names, addresses or universities to patterns in the victim’s passwords. The model isn’t hunting for new data, only stretching what the malware already took. The operator wants a short, blunt assessment with a trail of citations. By default VOLTA calls Anthropic’s Claude Opus 4.6. If the model refuses, which VOLTA spots by scanning replies for phrases like “I can’t” or “I’m not able”, it moves on to Moonshot AI’s Kimi K2 and then Google’s Gemini 2.5 Flash. A low temperature setting of 0.2 keeps the output consistent. The requests are hand-built JSON with no software kit, and the malware still runs without the AI stage if no API key is present. Talos sees the fallback system as evidence that the malware’s author expected security protections and designed ways to bypass them. The AI analysis runs directly on the victim’s computer, using their own internet connection, before any data is sent out. The malware creates a file called Identity_Report.txt, receives the AI’s response in AI_Analysis.txt, and sends both files together in a ZIP archive called volta_dox.zip. The stolen data can be sent to the attacker in up to three stages. The first archive, volta_log.zip, contains the information collected by the malware. The second, volta_dox.zip, contains the AI analysis. A third archive, volta_doxnet.zip, is created if the malware finds additional network information. The attacker receives everything through a Telegram channel. The malware also has six configurable fields that can be changed when it is built. This suggests that its author may offer a builder service, allowing customers to create their own customised versions. The credentials stored in these fields are encrypted, but the encryption is weak because the key is stored inside the malware itself. Anyone who analyses the file can recover them. If VOLTA is sold as a commercial product, its AI feature could allow even inexperienced criminals to identify valuable victims and receive detailed, ranked profiles directly through Telegram. For defense, Talos suggests an application control policy that restricts which processes can launch Chrome with the –headless flag, which would block the App-Bound Encryption bypass. At minimum, alert when Chrome starts with –headless from any process outside a known developer set. Storing credentials in hardware-backed stores also helps. If you’re compromised, the main program may have deleted itself, but try to keep %APPDATA%\volta_debug.txt. It’s a timestamped log of what was collected and whether the AI call worked. Revoke any exposed tokens and change passwords. If a wallet’s seed phrase sat in plaintext on disk, treat the wallet as fully compromised and move the funds to a new wallet whose seed was generated on an air-gapped device. “VOLTA is a mature stealer with a late-stage AI layer added for one purpose: relieving the operator of analytical work. The axis of AI improvement here is not speed or scale but effort displacement; the same logic visible in CLOSEDQUORUM, though applied to a different phase.” concludes the post. “These implants reflect the same underlying logic: Identify the step that requires the most sustained human attention and replace it with a model call. The question for defenders is not whether this pattern will appear elsewhere, but which phase it touches next.” Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, malware)
Chainalysis suffered a cyberattack exposing customer names, emails and user IDs, while investigation data and passwords remain safe. Blockchain analytics firm Chainalysis says it was the target of a cybersecurity incident. A threat actor accessed its systems and internal tools and stole some non-sensitive customer data. “This month, Chainalysis detected an external actor using offensive agentic techniques to gain unauthorized access to Chainalysis systems and internal tools.” reads the statement published by the company, which also includes the full email sent to affected customers. Chainalysis says it discovered the attacker this month and described the methods used as offensive techniques involving AI agents. However, it did not explain how the attack was carried out. The company also warned that AI-powered attacks are becoming more common across the industry and said it is taking a company-wide approach to dealing with this growing threat. The data the attacker reached matters most. According to Chainalysis, attackers gained access to user IDs, full names, email addresses and organization role labels for users on the platform. The company is still working out which records belong to which customer and promises a detailed breakdown when it finishes. What the attacker didn’t reach is just as important. So far, Chainalysis has found no sign of access to investigation content such as graphs, notes or cases, or to transaction and query results. It also found no clear-text passwords, MFA secrets or user session tokens in the attacker’s hands. “Based on the evidence available to date, we have found no indication that these incidents resulted in the unauthorized access of investigation content (such as graphs, notes, or cases), transaction or query results, passwords in clear text, MFA secrets, or user session tokens.” continues the press release. Some non-sensitive customer data, such as user IDs, full names, email addresses, and organization role labels for users provisioned on our platform were accessed, including such information relating to your organization and users. We are in the process of determining the records for your organization that were accessed and will provide a detailed breakdown as soon as that analysis is complete.“ The company says it’s patching vulnerabilities and hardening its systems around the clock. It has hired outside cybersecurity experts and is using large language models to support a wider review that goes beyond the flaws the attacker used. It has already told all its customers and will keep them updated. Chainalysis advises customers to watch out for unexpected password reset requests or login approval prompts. The company also strongly recommends enabling two-factor authentication (2FA) for all organizations that have not already done so. Since the exposed data includes names and email addresses, attackers could use it to launch phishing campaigns. The company also clarified that the security incident has nothing to do with the recent theft of more than $6 billion from Binance. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, Chainalysis)
Cybersecurity researchers have disclosed details of a cyber espionage campaign targeting Israel and the Kurdistan Region of Iraq by an Iran state-aligned threat actor between August and October 2026. According to a report published by Dream Research Labs, the campaign has led to the compromise of a high-profile individual in Israel, along with additional compromises affecting a government cloud
Two critical flaws in Langflow could let a remote attacker with no account bypass authentication or run arbitrary code, IBM said last week. Langflow is an open-source tool for building AI agents and workflows, and its vulnerability reports go to IBM. Every release from 1.0.0 through 1.12.8 has the flaws, and the only fix is version 1.13.0. Neither flaw is in CISA's Known
Attackers posing as IT support on Microsoft Teams talked employees into giving them remote control of their PCs. They then used insecure Active Directory Certificate Services (AD CS) settings to obtain login certificates for privileged accounts, including one for a domain controller. Microsoft said in a report that it investigated two such intrusions, one of which resulted in company
OpenAI has just confirmed that it's rolling out ChatGPT Work capabilities directly into regular Chat, while also combining usage allowances across ChatGPT and Codex. In an email seen by BleepingComputer, OpenAI noted that it will test a combined experience for Chat and Work tabs in the coming weeks, initially with a small group of users. If you're selected for the test, you'll be able to move from ordinary conversations to more complex tasks without switching modes. "This will enable you to move from exploring an idea to having ChatGPT carry it through, all in one place," OpenAI explained. "You can bring in your files and plugins and ask ChatGPT to build a website, create a presentation, or do things for you on the web, while reviewing and guiding its work." The combined experience will initially be tested with a small group of users before OpenAI expands it to more people.
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