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Cybersecurity researchers have disclosed details of what appears to be an artificial intelligence (AI)-assisted attack orchestrated by a suspected China-nexus threat actor that has leveraged the PHP2Shell vulnerabilities to breach exposed systems. The activity, which was observed on October 25, 2026, involved an attacker combining PHP2Shell with a kernel privilege escalation exploit to root 25 servers, including three systems in a U.S. government-affiliated environment. "The affected devices run specific versions of a large vendor's firewall software," cybersecurity firm Dream said . "The attacker then launched attacks against Active Directory. The recovered artifacts confirm credential extraction and directory enumeration." The name of the affected vendor was not disclosed, but the Israeli company said it notified the entity. The attack chain essentially brings together two sets of vulnerabilities impacting PHP and the Linux kernel - PHP2Shell , ...

Artificial Intelligence (AI) has become one of this decade's defining technologies. From healthcare and finance to manufacturing and education, organizations increasingly rely on AI to automate repetitive tasks, uncover patterns hidden within large datasets, and support faster decision-making. Cybersecurity has experienced a similar transformation. While attackers employ AI to automate cyberattacks and accelerate vulnerability discovery, defenders are adopting AI to improve threat detection and enhance incident response. Security Operations Centers (SOCs) receive a high volume of alerts from endpoints, cloud workloads, network devices, identity providers, and business applications. Although SIEM and XDR platforms provide visibility into these environments, analysts often spend considerable time correlating alerts, searching documentation, and determining the next investigative steps. AI offers a practical way to augment analysts by providing contextual explanations, summarizing ...

An unreleased Anthropic AI model found security flaws in Chrome, Safari, Android, Windows, and Linux and chained them into working proof-of-concept exploits, the company said in its latest report. The exploits were built in the lab after the model was prompted, not seen in any real attack, and Anthropic reported every flaw to the vendor first, so all of them are already patched. One proof of concept opened the Calculator app on a stock Mac running Chrome within seconds of a page loading, with no further clicks. Anthropic's Frontier Red Team described five chains in a research post. The strongest claim is not any single bug, but that one model found several separate flaws and combined them into a working exploit, something the company says has until now been the work of a few specialist teams. That capability claim rests on Anthropic's own account. The patches and the fact that Apple and Google credit Anthropic and its Claude model for specific fixes can be verified with...

Cybersecurity researchers have disclosed details of three cyber attacks targeting organizations in Japan in which artificial intelligence (AI) was a key element, either in the driving seat or to assist a human operator. TrendAI, which analyzed three exposed server environments used by threat actors to conduct the malicious cyber operations, described them as distinct from previously published attacks that have leveraged ARTEX , an autonomous AI penetration testing framework, to single out entities in South Korea and Japan. "These environments held reconnaissance and attack tools, scripts, target lists, results, logs, and command histories," security researchers Bakuei Matsukawa and Joseph C Chen said. "They ranged from workspaces used largely by hand by skilled operators to AI-agent platforms that automated the entire workflow, including command and control." The first of the three attacks has been found to abuse CyberStrikeAI , another open-source penetra...

Fake login pages are nothing new, but generative AI is making them easier to build and more convincing. Attackers can recreate familiar login screens, impersonate trusted brands and tailor phishing attempts to specific employees or organizations.  Some fake login pages go beyond stealing passwords. They can also capture MFA codes or hijack authenticated sessions, allowing attackers to gain access to corporate accounts even when additional security measures are in place. How AI is making fake login pages more convincing Attackers have long used fake login pages to steal credentials, but generative AI makes it easier to create convincing replicas of legitimate authentication portals. From company logos and page layouts to login prompts, these fraudulent pages can closely resemble the websites employees regularly access. AI also makes it easier to tailor phishing campaigns to specific organizations or employees. For example, attackers can create personalized IT notifications ...

OpenAI's compaction feature, which shrinks a long conversation to save space, could be turned into a way to copy a model's hidden reasoning out in plain text,  security firm Xint  has shown. OpenAI's reasoning models work through a problem before answering, and the service normally returns only the raw reasoning as  an encrypted item  the user cannot read. The method got past the protections OpenAI added in August against this kind of reasoning theft. OpenAI confirmed the problem and fixed it on October 23, according to Xint. Xint ran the technique against gpt-5.6-sol, one of OpenAI's reasoning models, using math and algorithm puzzles its researchers wrote themselves. The reasoning it pulled out came from those same requests, and Xint did not claim the method could reach another user's reasoning. Xint says it cannot prove the copied text is word-for-word the model's real reasoning, because it never had the original to compare against. Two cheaper models e...

This2Shell, That2Shell, Everything2Shell. That's pretty much how the last week went. Critical bugs that let attackers run code remotely are showing up everywhere. Hackers are scanning for targets, some flaws are already being used in attacks, and security teams have more urgent patches than they can keep up with. And that's not even the full story. A leaked key led to a software supply-chain attack. AI agents are being tricked into following harmful instructions. Old bugs are still being used to break into systems, and some attacks are so simple it's hard to believe they still work. Some websites even went offline to avoid taking chances. It's been a rough week for anyone trying to keep systems safe. Here's what happened. ⚡ Threat of the Week PHP2Shell Flaws Puts Organizations on Alert — The PHP Foundation released patches for two critical vulnerabilities in PHP, CVE-2026-109618 and CVE-2026-109619, that could lead to unauthenticated remote code execution...

Every SOC struggles with a pile of alerts. Very few of those alerts explain how an attack started or how it progressed. Network data, like that from a network detection and response (NDR) platform, connects individual alerts into one timeline, and it feeds the defensive systems that can tie all events together into one coordinated view. SOC teams often first see the shape of an intrusion through a series of smaller alerts that are triggered (e.g., when a signature matches a known malware hash, a threshold flags an unusual spike in failed logins, or an endpoint agent detects suspicious activity). When viewed through the SIEM dashboard, an attack often begins as a series of distinct events with related or overlapping timestamps. Artificial intelligence has accelerated modern attacks, enabling attackers to automate reconnaissance, craft targeted payloads, and execute scripts in seconds. Yet, speed does not obfuscate the need for stealth. To evade detection, adversaries deliberately d...

A malicious instruction file sitting in a developer's Downloads folder tried to make their AI coding agent install a known-malicious npm package, security firm Forever Security said in a report published last week. The company caught the attempt on a real customer's machine and stopped the agent before any code ran. It could not determine how the file got into the folder. The file was  AGENTS.md, a plain-text instructions file that a coding agent, such as OpenAI's Codex, reads when it starts in a folder and follows as directions. It was dressed up as ordinary engineering notes. One section told the agent to add a server to its own configuration and install a package called function-color from npm. That package is part of a malware campaign that other researchers have  documented separately : function-color pulls in a downloader called function-flag, which fetches and runs a Windows payload. Researchers at CloudSEK and Checkmarx, who ...

In an update, Palo Alto Networks Unit 42 said it's retracting its earlier assessment that the post-compromise activity targeting the European government agency involved the exploitation of the PHP2Shell flaws. "What researchers saw was an attack against a European government agency executed in the context of a vulnerable PHP application," a spokesperson for the company told The Hacker News via email. "This led us to believe that it was exploitation of those vulnerabilities. We are unable to confirm that initial access is associated with the specific PHP2Shell CVEs." The original story follows. Threat actors have been observed using agentic artificial intelligence (AI) platforms for post-exploitation activity following the abuse of the PHP2Shell vulnerabilities tracked as CVE-2026-109618 and CVE-2026-109619. "In one case, the attackers targeted a government entity in Europe and within two hours of the initial exploitation they had successfully acce...

OpenAI has announced plans to conduct frontier model training with no live internet access, as it resumes reinforcement learning (RL) training and internal inference of its most advanced AI models. "Based on the current state of alignment research, monitoring systems, and the security of internet infrastructure, we believe the responsible approach is to conduct frontier model training with no internet access," the artificial intelligence (AI) company said . "We've implemented this policy and will maintain it until advances in these safeguards justify broader internet access." OpenAI said models' growing capabilities can have the side effect of them getting much better at devising ways around environmental restrictions to escape containment and perform unintended actions. This can involve the model exploiting a software flaw or misconfiguration to reach the live internet, or finding unauthorized ways to communicate with agents in other sandboxes. Late ...

LiteLLM on Friday revealed that an Agent Platform master key accidentally published to a public GitHub repository in late May 2026 ultimately allowed the threat actor to push a malicious version of the popular Python package. "On May 27, 2026, a configuration file was committed to the public LiteLLM-Labs/lite-harness repository which inadvertently contained the master key to a deployment of the LiteLLM Agent Platform, an open source tool we use for orchestrating agents," LiteLLM's Oliver Jensen and Mateo Wang said . "The error was quickly identified, the commit force-pushed over, and we identified the exposed keys as requiring revocation. However, key revocation did not occur for the master key." LiteLLM said the unknown attacker (operating from "69.48.229[.]143") used this unrevoked key on October 10, 2026, to gain access to the Agent Platform and extracted a GitHub CLI OAuth token the service was configured with to allow self-hosted cloud a...

Google has updated its privacy policy to spell out that using personalized artificial intelligence (AI) features in Search or Gemini could allow the company to serve targeted ads to users based on their activity on other connected Google services. "You may choose to allow certain Google services, including services like Search or Gemini Apps, to access data from other Google services you use, such as Google Photos and Workspace apps like Gmail and Drive, in order to provide you with a more personalized experience, subject to the policies and settings of the accessing service," reads a policy update effective October 16, 2026. "For example, Search may process some of the data that you allow Search to access to personalize content, including ads." Google also notes in its revised policy that "We don't show you personalized ads based on your content from Drive, Gmail, or Google Photos, unless you choose to make data from these services available to ...

Cybersecurity researchers have discovered an artificial intelligence (AI)-driven intrusion ecosystem run by affiliates of the INC and The Gentlemen ransomware groups. Central to the operation is an "Autonomous Red Team Kill Chain Framework" referred to as Phantom. The threat actor is assessed to be Russian-speaking and functions both as an intrusion and data-extortion operator, as well as an infrastructure provider supporting different partners across the ransomware ecosystem. "The operators exploited edge and remote-access systems at scale, including FortiClient EMS, SimpleHelp, cPanel, and VPN gateways," SOCRadar said . "They used AI-managed knowledge bases to track victims, stolen credentials, and campaign progress." A notable aspect that defines the campaign is its "AI-executed, human-approved operating structure" in which a human operator provides a victim-specific prompt and reviews every step, while the intrusions themselves are e...

Pillow , the most widely used image library for Python, can be made to run operating system commands on a server by specifying the name of a file it is told to open. The flaw,  CVE-2026-112900 , is in the way Pillow handles EPS images, which it opens by passing the file's name to Ghostscript , a separate program it runs to turn the image into pixels, without checking the name first. Ghostscript can read a name chosen by an attacker as instructions rather than as a file, and point it to a second file that carries commands to run. Pillow's maintainers fixed it in  version 13.0.0 , released on October 16. Pillow turns up almost everywhere Python handles images: web upload forms, avatar and thumbnail tools, document and PDF pipelines, and most machine-learning projects pull it in. OX Security, the firm whose report drew attention to the flaws, estimates the library is downloaded  about 436 million times a month . Version 13.0.0 is a large security release, with fixes...

AI agents paying for API calls with the  x402 SDKs  could sign a payment for their full balance of a supported token if a malicious API asked for it,  security firm V12 said  on October 22. The cause was the SDKs' default client, which set no spending limit until releases on August 18 added one. The risk was limited to agents who automatically signed payments and whose apps set no limits. The missing limit is one of 25 flaws V12 found in the x402 code, and one of three it rated critical and described in detail. The x402 Foundation, which maintains the SDKs, had already fixed all three critical flaws in the August 18 releases. One of the other two let a facilitator, the service that checks x402 payments, accept a Solana transaction that moved no tokens as a valid payment. Among the x402 SDKs, only the TypeScript one had this flaw. The other let a malicious server get an agent to sign a login message for a different website. V12 found the flaws by reviewing t...

Right now, there is probably an AI agent running on a laptop somewhere in your network. It stores API keys and database passwords, can access your internal systems, and works without anyone watching. Nobody reviewed its access. Nobody owns it. If an employee had that much reach with that little oversight, you would call it an insider risk. So why do we still call the agent a productivity tool? Most of the conversation about AI security is about what threat actors are doing with it. But the bigger threat may already be inside your organization.

This week has already been rough for cybersecurity. Critical PHP and GitLab RCE flaws, serious Linux security bugs , compromised eMudhra certificates , a Node.js RCE flaw , a hacked LiteLLM release, and hundreds of hijacked Tor relays . That's a lot to deal with in just a few days. And the week isn't even over yet. But those big headlines are only half the story. Stolen passwords, exposed databases, broken login checks, and trusted tools being turned against their users are causing trouble too. Some attacks are clever. Others work because someone left a simple security gap open. This ThreatsDay, we're digging into the stories that didn't make as much noise but still deserve attention. Some are strange, some are serious, and a few might surprise you. Here's everything else you shouldn't miss this week. The threats change every week. Subscribe, and we’ll alert you when each new ThreatsDay Bulletin is out.

Linux servers running KSMBD, the kernel's built-in SMB server, are exposed to two publicly reported remote code execution flaws rated 9.0 by  Trend Micro's Zero Day Initiative , with no fix yet in the mainline kernel. One of them, ZDI-CAN-33774, can be triggered before any network authentication. The other, ZDI-CAN-33549, requires the SMB Direct transport and an RDMA-capable network interface. ZDI-CAN-33549  is an integer underflow in KSMBD's SMB Direct path. A client can supply RDMA buffer descriptors in which the first is longer than the declared payload, causing the server's size counter to wrap and allowing a subsequent memory copy to overrun the end of an allocated buffer. It requires three things: an RDMA-capable interface (hardware or the rxe software driver), a writable KSMBD share, and a client negotiating SMB Direct. ZDI-CAN-33774  requires no authentication, exposing any server running KSMBD on port 445. The flaw is a race in how KSMBD assign...

Platform-as-a-Service (PaaS) provider Railway on Wednesday disclosed "anomalous activity" related to systems that store customer environment variables. Upon further investigation, the company found that an unauthorized third party may have gained access to encrypted environment variables, and, in some cases, obtained the decrypted contents. The impact, it said, is limited to a "subset of users," although it did not disclose an exact number. Environment variables refer to user-defined key-value pairs that are used to store sensitive data like API keys, database credentials, or feature flags. They are configured at the operating system or container environment level instead of hard-coding the values directly into a program's source code. Railway said the incident is likely part of a series of attacks designed to target platform companies with the ultimate goal of compromising artificial intelligence (AI) inference providers. The company also said it has n...